M.A. Goda Klumbyte

Research Assistant

Image: Arnas Balčiūnas

Email: goda.klumbyte[at]uni-kassel[dot]de

Location: Pfannkuchstraße 1
34121 Kassel

Room: ITeG, Room 0230

Goda Klumbytė is an interdisciplinary scholar between informatics and humanities & social sciences. Her research engages feminist new materialism, posthumanism, human-computer interaction and algorithmic systems design.

She is currently involved as a researcher with the AI Forensics project.

Algorithm systems design and machine learning systems engineering
Critical algorithm studies
Feminist new materialism and feminist theory
Critical continental philosophy and critical posthumanism
Participatory and co-creation design methodologies
Fairness, accountability, transparency, and ethics of machine learning
Human-computer interaction, particularly human-algorithm interaction and human-centred explainable AI
Experimental interdisciplinary design methods

In her doctoral research conducted at the University of Kassel Goda investigates epistemic premises of machine learning as a knowledge production tool and proposes innovative ways to work with intersectional feminist and new materialist epistemologies towards more contextualized and accountable machine learning systems design. For one of the projects within her doctoral research, see "Critical Tools for Machine Learning" at critml.org.

Goda co-edited More Posthuman Glossary with R. Braidotti and E. Jones (Bloomsbury, 2022), and published work in Posthuman Glossary (Braidotti & Hlavajova, 2018), Everyday Feminist Research Praxis (Leurs & Olivieri, 2015), journals Online Information Review, Digital Creativity and ASAP, as well as presented at informatics conferences such as ACM’s CHI, nordiCHI and FAccT. At the University of Kassel and elsewhere she has taught introductory courses on social aspects of informatics, critical posthumanism and feminist new materialism, as well as critical algorithm studies and methods. Read more about Goda on academia.edu

[ 2023 ]
[ 2022 ]
[ 2021 ]
[ 2020 ]
[ 2019 ]
[ 2018 ]

2023[ to top ]

We all care, ALL the time. Smith, Jamie B.; Klumbytė, Goda; Sidebottom, Kay; Dillard-Wright, Jess; Willis, Eva; Brown, Brandon B.; Hopkins-Walsh, Jane. In Nursing Inquiry. Wiley, 2023.
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@article{Smith_2023, author = {Smith, Jamie B. and Klumbytė, Goda and Sidebottom, Kay and Dillard-Wright, Jess and Willis, Eva and Brown, Brandon B. and Hopkins-Walsh, Jane}, journal = {Nursing Inquiry}, keywords = {interdisciplinary}, month = {06}, publisher = {Wiley}, title = {We all care, ALL the time}, year = 2023 }
%0 Journal Article %1 Smith_2023 %A Smith, Jamie B. %A Klumbytė, Goda %A Sidebottom, Kay %A Dillard-Wright, Jess %A Willis, Eva %A Brown, Brandon B. %A Hopkins-Walsh, Jane %D 2023 %I Wiley %J Nursing Inquiry %R 10.1111/nin.12572 %T We all care, ALL the time %U https://doi.org/10.1111%2Fnin.12572
From ‘if-then’ to ‘what if?’ Rethinking healthcare algorithmics with posthuman speculative ethics. Smith, Jamie; Klumbytė, Goda; Britton, Ren Loren. In Nursing Philosophy. 2023.
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This article discusses the role that algorithmic thinking and management play in health care and the kind of exclusions this might create. We argue that evidence-based medicine relies on research and data to create pathways for patient journeys. Coupled with data-based algorithmic prediction tools in health care, they establish what could be called health care algorithmics—a mode of management of healthcare that produces forms of algorithmic governmentality. Relying on a critical posthumanist perspective, we show how healthcare algorithmics is contingent on the way authority over bodies is produced and how predictive health care algorithms can reproduce inequalities of the worlds from which they are made, centreing possible futures on existing normativities regulated through algorithmic biopower. In contrast to that, we explore posthuman speculative ethics as a way to challenge understanding of ‘ethics’ and ‘care’ in healthcare algorithmics. We suggest some possible avenues towards working speculative ethics into health care while still being critically attentive to algorithmic modes of management and prediction in health care.
@article{https://doi.org/10.1111/nup.12447, abstract = {This article discusses the role that algorithmic thinking and management play in health care and the kind of exclusions this might create. We argue that evidence-based medicine relies on research and data to create pathways for patient journeys. Coupled with data-based algorithmic prediction tools in health care, they establish what could be called health care algorithmics—a mode of management of healthcare that produces forms of algorithmic governmentality. Relying on a critical posthumanist perspective, we show how healthcare algorithmics is contingent on the way authority over bodies is produced and how predictive health care algorithms can reproduce inequalities of the worlds from which they are made, centreing possible futures on existing normativities regulated through algorithmic biopower. In contrast to that, we explore posthuman speculative ethics as a way to challenge understanding of ‘ethics’ and ‘care’ in healthcare algorithmics. We suggest some possible avenues towards working speculative ethics into health care while still being critically attentive to algorithmic modes of management and prediction in health care.}, author = {Smith, Jamie and Klumbytė, Goda and Britton, Ren Loren}, journal = {Nursing Philosophy}, keywords = {itegpub}, title = {From ‘if-then’ to ‘what if?’ Rethinking healthcare algorithmics with posthuman speculative ethics}, year = 2023 }
%0 Journal Article %1 https://doi.org/10.1111/nup.12447 %A Smith, Jamie %A Klumbytė, Goda %A Britton, Ren Loren %D 2023 %J Nursing Philosophy %R 10.1111/nup.12447 %T From ‘if-then’ to ‘what if?’ Rethinking healthcare algorithmics with posthuman speculative ethics %U https://onlinelibrary.wiley.com/doi/abs/10.1111/nup.12447 %X This article discusses the role that algorithmic thinking and management play in health care and the kind of exclusions this might create. We argue that evidence-based medicine relies on research and data to create pathways for patient journeys. Coupled with data-based algorithmic prediction tools in health care, they establish what could be called health care algorithmics—a mode of management of healthcare that produces forms of algorithmic governmentality. Relying on a critical posthumanist perspective, we show how healthcare algorithmics is contingent on the way authority over bodies is produced and how predictive health care algorithms can reproduce inequalities of the worlds from which they are made, centreing possible futures on existing normativities regulated through algorithmic biopower. In contrast to that, we explore posthuman speculative ethics as a way to challenge understanding of ‘ethics’ and ‘care’ in healthcare algorithmics. We suggest some possible avenues towards working speculative ethics into health care while still being critically attentive to algorithmic modes of management and prediction in health care.
Towards Feminist Intersectional XAI: From Explainability to Response-Ability. Klumbytė, Goda; Piehl, Hannah; Draude, Claude. 2023.
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This paper follows calls for critical approaches to computing and conceptualisations of intersectional, feminist, decolonial HCI and AI design and asks what a feminist intersectional perspective in HCXAI research and design might look like. Sketching out initial research directions and implications for explainable AI design, it suggests that explainability from a feminist perspective would include the fostering of response-ability - the capacity to critically evaluate and respond to AI systems - and would centre marginalised perspectives.
@misc{klumbyte2023towards, abstract = {This paper follows calls for critical approaches to computing and conceptualisations of intersectional, feminist, decolonial HCI and AI design and asks what a feminist intersectional perspective in HCXAI research and design might look like. Sketching out initial research directions and implications for explainable AI design, it suggests that explainability from a feminist perspective would include the fostering of response-ability - the capacity to critically evaluate and respond to AI systems - and would centre marginalised perspectives.}, author = {Klumbytė, Goda and Piehl, Hannah and Draude, Claude}, keywords = {itegpub}, note = {Workshop Human-Centered Explainable AI (HCXAI), ACM Conference on Human Factors in Computing Systems CHI 23, April 23-28, 2023, Hamburg, Germany}, title = {Towards Feminist Intersectional XAI: From Explainability to Response-Ability}, year = 2023 }
%0 Generic %1 klumbyte2023towards %A Klumbytė, Goda %A Piehl, Hannah %A Draude, Claude %D 2023 %R 10.48550/arXiv.2305.03375 %T Towards Feminist Intersectional XAI: From Explainability to Response-Ability %X This paper follows calls for critical approaches to computing and conceptualisations of intersectional, feminist, decolonial HCI and AI design and asks what a feminist intersectional perspective in HCXAI research and design might look like. Sketching out initial research directions and implications for explainable AI design, it suggests that explainability from a feminist perspective would include the fostering of response-ability - the capacity to critically evaluate and respond to AI systems - and would centre marginalised perspectives.
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour. Klumbytė, Goda; Piehl, Hannah; Draude, Claude. 2023.
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Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.
@misc{klumbyte2023explaining, abstract = {Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.}, author = {Klumbytė, Goda and Piehl, Hannah and Draude, Claude}, keywords = {itegpub}, note = {Workshop Behind the Scenes of Automation: Ghostly Care-Work, Maintenance, and Interference, ACM Conference on Human Factors in Computing Systems CHI 23, April 23-28, 2023, Hamburg, Germany}, title = {Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour}, year = 2023 }
%0 Generic %1 klumbyte2023explaining %A Klumbytė, Goda %A Piehl, Hannah %A Draude, Claude %D 2023 %R 10.48550/arXiv.2305.03376 %T Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour %X Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.
Feminist epistemology for machine learning systems design. Klumbytė, Goda; Piehl, Hannah; Draude, Claude. 2023.
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This paper presents a series of feminist epistemological concepts as tools for developing critical, more accountable, and contextualised approaches to machine learning systems design. Namely, we suggest that the methods of situated knowledges or situating, figurations or figuring, diffraction or diffracting, and critical fabulation or speculation can be productively actualised in the field of machine learning systems design. We also suggest that the meta-method for doing this actualisation requires not so much translation but transposition - a creative and critical adaptation to speak to machine learning contexts.
@misc{klumbyte2023feminist, abstract = {This paper presents a series of feminist epistemological concepts as tools for developing critical, more accountable, and contextualised approaches to machine learning systems design. Namely, we suggest that the methods of situated knowledges or situating, figurations or figuring, diffraction or diffracting, and critical fabulation or speculation can be productively actualised in the field of machine learning systems design. We also suggest that the meta-method for doing this actualisation requires not so much translation but transposition - a creative and critical adaptation to speak to machine learning contexts.}, author = {Klumbytė, Goda and Piehl, Hannah and Draude, Claude}, keywords = {from:limabla}, note = {Workshop A Toolbox of Feminist Wonder - Theories and methods that can make a difference, Conference on Computer-Supported Cooperative Work and Social Computing CSCW 23, October 14-18, 2023, Minneapolis, MN, USA, 5 pages}, title = {Feminist epistemology for machine learning systems design}, year = 2023 }
%0 Generic %1 klumbyte2023feminist %A Klumbytė, Goda %A Piehl, Hannah %A Draude, Claude %D 2023 %R 10.48550/arXiv.2310.13721 %T Feminist epistemology for machine learning systems design %U https://arxiv.org/abs/2310.13721 %X This paper presents a series of feminist epistemological concepts as tools for developing critical, more accountable, and contextualised approaches to machine learning systems design. Namely, we suggest that the methods of situated knowledges or situating, figurations or figuring, diffraction or diffracting, and critical fabulation or speculation can be productively actualised in the field of machine learning systems design. We also suggest that the meta-method for doing this actualisation requires not so much translation but transposition - a creative and critical adaptation to speak to machine learning contexts.

2022[ to top ]

Re-Imagining a ’We’ Beyond the Gathering of Reductions. Propositions for the Three Ecologies. Athanasiadou, Lila; Klumbytė, Goda; Rouvroy, Antoinette. In FOOTPRINT, 16(1), pp. 121–134. 2022.
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In this article Lila Athanasiadou and Goda Klumbytė engage in a conversation with Antoinette Rouvroy to revisit Guattari’s "Three Ecologies" and discuss their dynamics in and for the digital age. While a lot of the discourses on algorithms and digital future invoke catastrophic imaginaries of totalizing control, this conversation works with a propositional format, teasing out affirmative politics by pointing to spaces of potentiality within the environmental, the social and the mental realm. Starting from the environmental ecology and thinking of data as a waste, Rouvroy discusses planetary exhaustion as the result of the depletion of natural resources, forced labour practices and the assumption that data hold the answers to the problems posed by global capital. Proposing a space for material experimentation, she speculates on the potential of emerging subjectivities that remain irreducible to data flows. Within social ecology, Rouvroy advocates for the urgency to center digital policy as the space in which the new forms of institutions emerge in order to reorient the power of computation towards the commons. Lastly, within the mental ecology, Rouvroy reconceptualizes the legal subject as a performance that operates within the proliferation of asignifying data signs, reimagining a “we” beyond the gathering of reductions.
@article{athanasiadou2022reimagining, abstract = {In this article Lila Athanasiadou and Goda Klumbytė engage in a conversation with Antoinette Rouvroy to revisit Guattari’s "Three Ecologies" and discuss their dynamics in and for the digital age. While a lot of the discourses on algorithms and digital future invoke catastrophic imaginaries of totalizing control, this conversation works with a propositional format, teasing out affirmative politics by pointing to spaces of potentiality within the environmental, the social and the mental realm. Starting from the environmental ecology and thinking of data as a waste, Rouvroy discusses planetary exhaustion as the result of the depletion of natural resources, forced labour practices and the assumption that data hold the answers to the problems posed by global capital. Proposing a space for material experimentation, she speculates on the potential of emerging subjectivities that remain irreducible to data flows. Within social ecology, Rouvroy advocates for the urgency to center digital policy as the space in which the new forms of institutions emerge in order to reorient the power of computation towards the commons. Lastly, within the mental ecology, Rouvroy reconceptualizes the legal subject as a performance that operates within the proliferation of asignifying data signs, reimagining a “we” beyond the gathering of reductions.}, author = {Athanasiadou, Lila and Klumbytė, Goda and Rouvroy, Antoinette}, booktitle = {The Epiphylogenetic Turn and Architecture: In (Tertiary) Memory of Bernard Stiegler}, journal = {FOOTPRINT}, keywords = {itegpub}, month = {07}, number = 1, pages = {121-134}, title = {Re-Imagining a 'We' Beyond the Gathering of Reductions. Propositions for the Three Ecologies}, volume = 16, year = 2022 }
%0 Journal Article %1 athanasiadou2022reimagining %A Athanasiadou, Lila %A Klumbytė, Goda %A Rouvroy, Antoinette %B The Epiphylogenetic Turn and Architecture: In (Tertiary) Memory of Bernard Stiegler %D 2022 %J FOOTPRINT %N 1 %P 121-134 %R 10.7480/footprint.16.1.5933 %T Re-Imagining a 'We' Beyond the Gathering of Reductions. Propositions for the Three Ecologies %U https://doi.org/10.7480/footprint.16.1.5933 %V 16 %X In this article Lila Athanasiadou and Goda Klumbytė engage in a conversation with Antoinette Rouvroy to revisit Guattari’s "Three Ecologies" and discuss their dynamics in and for the digital age. While a lot of the discourses on algorithms and digital future invoke catastrophic imaginaries of totalizing control, this conversation works with a propositional format, teasing out affirmative politics by pointing to spaces of potentiality within the environmental, the social and the mental realm. Starting from the environmental ecology and thinking of data as a waste, Rouvroy discusses planetary exhaustion as the result of the depletion of natural resources, forced labour practices and the assumption that data hold the answers to the problems posed by global capital. Proposing a space for material experimentation, she speculates on the potential of emerging subjectivities that remain irreducible to data flows. Within social ecology, Rouvroy advocates for the urgency to center digital policy as the space in which the new forms of institutions emerge in order to reorient the power of computation towards the commons. Lastly, within the mental ecology, Rouvroy reconceptualizes the legal subject as a performance that operates within the proliferation of asignifying data signs, reimagining a “we” beyond the gathering of reductions.
Intraview: Speculative Materialities, Indigenous Worldings and Decolonial Futures in Computing & Design. Klumbytė, Goda; Britton, Ren Loren; Laiti, Outi; Prado de O. Martins, Luiza; Snelting, Femke; Ward, Caroline. In Matter: Journal of New Materialist Research, 3(1), pp. 182–196. 2022.
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@article{klumbyte2022, author = {Klumbytė, Goda and Britton, Ren Loren and Laiti, Outi and Prado de O. Martins, Luiza and Snelting, Femke and Ward, Caroline}, journal = {Matter: Journal of New Materialist Research}, keywords = {itegpub}, month = {02}, number = 1, pages = {182-196}, title = {Intraview: Speculative Materialities, Indigenous Worldings and Decolonial Futures in Computing & Design}, volume = 3, year = 2022 }
%0 Journal Article %1 klumbyte2022 %A Klumbytė, Goda %A Britton, Ren Loren %A Laiti, Outi %A Prado de O. Martins, Luiza %A Snelting, Femke %A Ward, Caroline %D 2022 %J Matter: Journal of New Materialist Research %N 1 %P 182-196 %R https://doi.org/10.1344/jnmr.v3i1.38967 %T Intraview: Speculative Materialities, Indigenous Worldings and Decolonial Futures in Computing & Design %V 3
Almanac: Algorithmic Kinning. Klumbytė, Goda. In Matter: Journal of New Materialist Research, 3(1), pp. 160–164. 2022.
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@article{klumbyte2022almanac, author = {Klumbytė, Goda}, journal = {Matter: Journal of New Materialist Research}, keywords = {itegpub}, month = {02}, number = 1, pages = {160-164}, title = {Almanac: Algorithmic Kinning}, volume = 3, year = 2022 }
%0 Journal Article %1 klumbyte2022almanac %A Klumbytė, Goda %D 2022 %J Matter: Journal of New Materialist Research %N 1 %P 160-164 %R 10.1344/jnmr.v3i1.38962 %T Almanac: Algorithmic Kinning %V 3
Prospects for a New Materialist Informatics: Introduction to a Special Issue. Klumbytė, Goda; Draude, Claude. In Matter: Journal of New Materialist Research, 3(1), p. I-XIV. 2022.
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@article{klumbyte2022prospects, author = {Klumbytė, Goda and Draude, Claude}, journal = {Matter: Journal of New Materialist Research}, keywords = {itegpub}, month = {02}, number = 1, pages = {I-XIV}, title = {Prospects for a New Materialist Informatics: Introduction to a Special Issue}, volume = 3, year = 2022 }
%0 Journal Article %1 klumbyte2022prospects %A Klumbytė, Goda %A Draude, Claude %D 2022 %J Matter: Journal of New Materialist Research %N 1 %P I-XIV %R https://doi.org/10.1344/jnmr.v3i1.38955 %T Prospects for a New Materialist Informatics: Introduction to a Special Issue %V 3
More Posthuman Glossary. Braidotti, Rosi; Jones, Emily; Klumbytė, Goda. In First of Theory in the New Humanities. Bloomsbury Publishing, 2022.
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The notion of the posthuman continues to both intrigue and confuse, not least because of the huge number of ideas, theories and figures associated with this term. More Posthuman Glossary provides a way in to the dizzying array of posthuman concepts, providing vivid accounts of emerging terms. It is much more than a series of definitions, however, in that it seeks to imagine and predict what new terms might come into being as this exciting field continues to expand. A follow-up volume to the brilliant interventions of Posthuman Glossary (2018), this book extends and elaborates on that work, particularly focusing on concepts of race, indigeneity and new ideas in radical ecology. It also includes new and emerging voices within the new humanities and multiple modes of communicating ideas. This is an indispensible glossary for those who are exploring what the non-human, inhuman and posthuman might mean in the 21st century.
@book{braidotti2022posthuman, abstract = {The notion of the posthuman continues to both intrigue and confuse, not least because of the huge number of ideas, theories and figures associated with this term. More Posthuman Glossary provides a way in to the dizzying array of posthuman concepts, providing vivid accounts of emerging terms. It is much more than a series of definitions, however, in that it seeks to imagine and predict what new terms might come into being as this exciting field continues to expand. A follow-up volume to the brilliant interventions of Posthuman Glossary (2018), this book extends and elaborates on that work, particularly focusing on concepts of race, indigeneity and new ideas in radical ecology. It also includes new and emerging voices within the new humanities and multiple modes of communicating ideas. This is an indispensible glossary for those who are exploring what the non-human, inhuman and posthuman might mean in the 21st century.}, edition = {First}, editor = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, keywords = {itegpub}, publisher = {Bloomsbury Publishing}, series = {Theory in the New Humanities}, title = {More Posthuman Glossary}, year = 2022 }
%0 Book %1 braidotti2022posthuman %B Theory in the New Humanities %D 2022 %E Braidotti, Rosi %E Jones, Emily %E Klumbytė, Goda %I Bloomsbury Publishing %T More Posthuman Glossary %X The notion of the posthuman continues to both intrigue and confuse, not least because of the huge number of ideas, theories and figures associated with this term. More Posthuman Glossary provides a way in to the dizzying array of posthuman concepts, providing vivid accounts of emerging terms. It is much more than a series of definitions, however, in that it seeks to imagine and predict what new terms might come into being as this exciting field continues to expand. A follow-up volume to the brilliant interventions of Posthuman Glossary (2018), this book extends and elaborates on that work, particularly focusing on concepts of race, indigeneity and new ideas in radical ecology. It also includes new and emerging voices within the new humanities and multiple modes of communicating ideas. This is an indispensible glossary for those who are exploring what the non-human, inhuman and posthuman might mean in the 21st century. %7 First %@ 9781350231443
Sharing Grounded Hope in the Age of Algorithmic Harm and Resistance. An interview with Goda Klumbytė. Urbelis, Tautvydas. echo gone wrong, 2022.
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@electronic{urbelis2022sharing, author = {Urbelis, Tautvydas}, keywords = {itegpub}, publisher = {echo gone wrong}, series = {Interview from Lithuania}, title = {Sharing Grounded Hope in the Age of Algorithmic Harm and Resistance. An interview with Goda Klumbytė}, type = {Interview}, year = 2022 }
%0 Generic %1 urbelis2022sharing %A Urbelis, Tautvydas %B Interview from Lithuania %D 2022 %I echo gone wrong %T Sharing Grounded Hope in the Age of Algorithmic Harm and Resistance. An interview with Goda Klumbytė %U https://echogonewrong.com/sharing-grounded-hope-in-the-age-of-algorithmic-harm-and-resistance-an-interview-with-goda-klumbyte/
Convergences. Braidotti, Rosi; Jones, Emily; Klumbytė, Goda. In More Posthuman Glossary, R. Braidotti, E. Jones, G. Klumbytė (eds.), pp. 21–22. Bloomsbury Publishing, 2022.
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@incollection{braidotti2022convergences, author = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, booktitle = {More Posthuman Glossary}, editor = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, keywords = {itegpub}, pages = {21-22}, publisher = {Bloomsbury Publishing}, title = {Convergences}, year = 2022 }
%0 Book Section %1 braidotti2022convergences %A Braidotti, Rosi %A Jones, Emily %A Klumbytė, Goda %B More Posthuman Glossary %D 2022 %E Braidotti, Rosi %E Jones, Emily %E Klumbytė, Goda %I Bloomsbury Publishing %P 21-22 %T Convergences
New Materialist Informatics. Klumbytė, Goda; Draude, Claude. In More Posthuman Glossary, R. Braidotti, E. Jones, G. Klumbytė (eds.), pp. 85–87. Bloomsbury Publishing, 2022.
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@incollection{klumbyt2022materialist, author = {Klumbytė, Goda and Draude, Claude}, booktitle = {More Posthuman Glossary}, editor = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, keywords = {itegpub}, pages = {85-87}, publisher = {Bloomsbury Publishing}, title = {New Materialist Informatics}, year = 2022 }
%0 Book Section %1 klumbyt2022materialist %A Klumbytė, Goda %A Draude, Claude %B More Posthuman Glossary %D 2022 %E Braidotti, Rosi %E Jones, Emily %E Klumbytė, Goda %I Bloomsbury Publishing %P 85-87 %T New Materialist Informatics
Algoritmic governmentality. Rouvroy, Antoinette; Klumbytė, Goda. In More Posthuman Glossary, R. Braidotti, E. Jones, G. Klumbytė (eds.), pp. 10–11. Bloomsbury Publishing, 2022.
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@incollection{rouvroy2022algoritmic, author = {Rouvroy, Antoinette and Klumbytė, Goda}, booktitle = {More Posthuman Glossary}, editor = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, keywords = {itegpub}, pages = {10-11}, publisher = {Bloomsbury Publishing}, title = {Algoritmic governmentality}, year = 2022 }
%0 Book Section %1 rouvroy2022algoritmic %A Rouvroy, Antoinette %A Klumbytė, Goda %B More Posthuman Glossary %D 2022 %E Braidotti, Rosi %E Jones, Emily %E Klumbytė, Goda %I Bloomsbury Publishing %P 10-11 %T Algoritmic governmentality
Posthuman Care. Braidotti, Rosi; Klumbytė, Goda. In More Posthuman Glossary, R. Braidotti, E. Jones, G. Klumbytė (eds.), pp. 105–106. Bloomsbury Publishing, 2022.
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@incollection{braidotti2022posthuman, author = {Braidotti, Rosi and Klumbytė, Goda}, booktitle = {More Posthuman Glossary}, editor = {Braidotti, Rosi and Jones, Emily and Klumbytė, Goda}, keywords = {itegpub}, pages = {105-106}, publisher = {Bloomsbury Publishing}, title = {Posthuman Care}, year = 2022 }
%0 Book Section %1 braidotti2022posthuman %A Braidotti, Rosi %A Klumbytė, Goda %B More Posthuman Glossary %D 2022 %E Braidotti, Rosi %E Jones, Emily %E Klumbytė, Goda %I Bloomsbury Publishing %P 105-106 %T Posthuman Care
Mapping Data Justice as a Multidimensional Concept Through Feminist and Legal Perspectives. Draude, Claude; Hornung, Gerrit; Klumbytė, Goda. In New Perspectives in Critical Data Studies: The Ambivalences of Data Power, A. Hepp, J. Jarke, L. Kramp (eds.), pp. 187–216. Springer International Publishing, Cham, 2022.
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This chapter interrogates ``data justice'' through the lenses of feminist and legal studies to reconfigure data justice as a multidimensional, interdisciplinary practice in IT-design. First, we look at how data justice is framed in feminist research and feminist-informed critical data and design perspectives, as well as how it is conceptualised in law, particularly in the context of the European General Data Protection Regulation (GDPR) and legal debates around privacy in Europe. Second, we recommend conceptual shifts, design approaches, and legal measures towards data justice. Our chapter contributes to new perspectives in critical data studies by showing that data justice can provide a conceptual ground that serves both the needs of legal formalisation as well as feminist imperatives of contextualisation and specificity.
@incollection{Draude2022, abstract = {This chapter interrogates ``data justice'' through the lenses of feminist and legal studies to reconfigure data justice as a multidimensional, interdisciplinary practice in IT-design. First, we look at how data justice is framed in feminist research and feminist-informed critical data and design perspectives, as well as how it is conceptualised in law, particularly in the context of the European General Data Protection Regulation (GDPR) and legal debates around privacy in Europe. Second, we recommend conceptual shifts, design approaches, and legal measures towards data justice. Our chapter contributes to new perspectives in critical data studies by showing that data justice can provide a conceptual ground that serves both the needs of legal formalisation as well as feminist imperatives of contextualisation and specificity.}, address = {Cham}, author = {Draude, Claude and Hornung, Gerrit and Klumbytė, Goda}, booktitle = {New Perspectives in Critical Data Studies: The Ambivalences of Data Power}, editor = {Hepp, Andreas and Jarke, Juliane and Kramp, Leif}, keywords = {itegpub}, pages = {187–216}, publisher = {Springer International Publishing}, title = {Mapping Data Justice as a Multidimensional Concept Through Feminist and Legal Perspectives}, year = 2022 }
%0 Book Section %1 Draude2022 %A Draude, Claude %A Hornung, Gerrit %A Klumbytė, Goda %B New Perspectives in Critical Data Studies: The Ambivalences of Data Power %C Cham %D 2022 %E Hepp, Andreas %E Jarke, Juliane %E Kramp, Leif %I Springer International Publishing %P 187--216 %R 10.1007/978-3-030-96180-0_9 %T Mapping Data Justice as a Multidimensional Concept Through Feminist and Legal Perspectives %U https://doi.org/10.1007/978-3-030-96180-0_9 %X This chapter interrogates ``data justice'' through the lenses of feminist and legal studies to reconfigure data justice as a multidimensional, interdisciplinary practice in IT-design. First, we look at how data justice is framed in feminist research and feminist-informed critical data and design perspectives, as well as how it is conceptualised in law, particularly in the context of the European General Data Protection Regulation (GDPR) and legal debates around privacy in Europe. Second, we recommend conceptual shifts, design approaches, and legal measures towards data justice. Our chapter contributes to new perspectives in critical data studies by showing that data justice can provide a conceptual ground that serves both the needs of legal formalisation as well as feminist imperatives of contextualisation and specificity. %@ 978-3-030-96180-0
Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design. Klumbytė, Goda; Draude, Claude; Taylor, Alex S. In 2022 ACM Conference on Fairness, Accountability, and Transparency, of FAccT ’22, pp. 1528–1541. Association for Computing Machinery, New York, NY, USA, 2022.
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This paper investigates how intersectional critical theoretical concepts from social sciences and humanities research can be worked with in machine learning systems design. It does so by presenting a case study of a series of speculative design workshops, conducted in 2021. These workshops drew on intersectional feminist methodologies to construct interdisciplinary interventions in the design of machine learning systems, towards more inclusive, accountable, and contextualized systems design. The concepts of “situating/situated knowledges”, "figuration", "diffraction", and “critical fabulation/speculation” were taken up as theoretical and methodological tools for concept-led design workshops. This paper presents the design framework of the workshops and highlights tensions and possibilities with regards to interdisciplinary machine learning systems design towards more inclusive, contextualized, and accountable systems. It discusses the role that critical theoretical concepts can play in a design process and shows how such concepts can work as methodological tools that nonetheless require an open-ended experimental space to function. It presents insights and discussion points regarding what it means to work with critical intersectional knowledge that is inextricably connected to its historical and socio-political roots, and how this reframes what it might mean to design fair and accountable systems.
@inproceedings{10.1145/3531146.3533207, abstract = {This paper investigates how intersectional critical theoretical concepts from social sciences and humanities research can be worked with in machine learning systems design. It does so by presenting a case study of a series of speculative design workshops, conducted in 2021. These workshops drew on intersectional feminist methodologies to construct interdisciplinary interventions in the design of machine learning systems, towards more inclusive, accountable, and contextualized systems design. The concepts of “situating/situated knowledges”, "figuration", "diffraction", and “critical fabulation/speculation” were taken up as theoretical and methodological tools for concept-led design workshops. This paper presents the design framework of the workshops and highlights tensions and possibilities with regards to interdisciplinary machine learning systems design towards more inclusive, contextualized, and accountable systems. It discusses the role that critical theoretical concepts can play in a design process and shows how such concepts can work as methodological tools that nonetheless require an open-ended experimental space to function. It presents insights and discussion points regarding what it means to work with critical intersectional knowledge that is inextricably connected to its historical and socio-political roots, and how this reframes what it might mean to design fair and accountable systems.}, address = {New York, NY, USA}, author = {Klumbytė, Goda and Draude, Claude and Taylor, Alex S.}, booktitle = {2022 ACM Conference on Fairness, Accountability, and Transparency}, keywords = {itegpub}, pages = {1528–1541}, publisher = {Association for Computing Machinery}, series = {FAccT '22}, title = {Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design}, year = 2022 }
%0 Conference Paper %1 10.1145/3531146.3533207 %A Klumbytė, Goda %A Draude, Claude %A Taylor, Alex S. %B 2022 ACM Conference on Fairness, Accountability, and Transparency %C New York, NY, USA %D 2022 %I Association for Computing Machinery %P 1528–1541 %R 10.1145/3531146.3533207 %T Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design %U https://doi.org/10.1145/3531146.3533207 %X This paper investigates how intersectional critical theoretical concepts from social sciences and humanities research can be worked with in machine learning systems design. It does so by presenting a case study of a series of speculative design workshops, conducted in 2021. These workshops drew on intersectional feminist methodologies to construct interdisciplinary interventions in the design of machine learning systems, towards more inclusive, accountable, and contextualized systems design. The concepts of “situating/situated knowledges”, "figuration", "diffraction", and “critical fabulation/speculation” were taken up as theoretical and methodological tools for concept-led design workshops. This paper presents the design framework of the workshops and highlights tensions and possibilities with regards to interdisciplinary machine learning systems design towards more inclusive, contextualized, and accountable systems. It discusses the role that critical theoretical concepts can play in a design process and shows how such concepts can work as methodological tools that nonetheless require an open-ended experimental space to function. It presents insights and discussion points regarding what it means to work with critical intersectional knowledge that is inextricably connected to its historical and socio-political roots, and how this reframes what it might mean to design fair and accountable systems. %@ 9781450393522
Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction. Draude, Claude; Klumbytė, Goda. In Human-Computer Interaction. Theoretical Approaches and Design Methods, Vol. 13302 of Lecture Notes in Computer Science, M. Kurosu (ed.), pp. 40–56. Springer International Publishing, Cham, 2022.
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Starting from the need for responsible research and innovation in computing, this paper addresses the challenges that come from working with the social sciences and the humanities in human-computer interaction. In this paper, we attempt to move beyond interdisciplinarity towards transdisciplinarity. In particular, we explore concepts of hybridity and third spaces that are used in HCI participatory design practices. We trace back the postcolonial, decolonial and feminist scholarship basis of these concepts and look at how their critical potential can inform a conceptualization of what we call hybrid methodology in its own right. For this, we present three case studies. The first two work with experimental spaces in artistic research and research through design, the third works with intersectional critical and speculative methodologies in machine learning systems design. The first two case studies center around the discussions of disciplinary openness through experimentation as a way of moving beyond interdisciplinarity towards transdisciplinarity; the third zooms in on the role of critical theoretical knowledge from the social sciences and the humanities as knowledge that enables new orientations in research and design of IT systems.
@inproceedings{10.1007/978-3-031-05311-5_3, abstract = {Starting from the need for responsible research and innovation in computing, this paper addresses the challenges that come from working with the social sciences and the humanities in human-computer interaction. In this paper, we attempt to move beyond interdisciplinarity towards transdisciplinarity. In particular, we explore concepts of hybridity and third spaces that are used in HCI participatory design practices. We trace back the postcolonial, decolonial and feminist scholarship basis of these concepts and look at how their critical potential can inform a conceptualization of what we call hybrid methodology in its own right. For this, we present three case studies. The first two work with experimental spaces in artistic research and research through design, the third works with intersectional critical and speculative methodologies in machine learning systems design. The first two case studies center around the discussions of disciplinary openness through experimentation as a way of moving beyond interdisciplinarity towards transdisciplinarity; the third zooms in on the role of critical theoretical knowledge from the social sciences and the humanities as knowledge that enables new orientations in research and design of IT systems.}, address = {Cham}, author = {Draude, Claude and Klumbytė, Goda}, booktitle = {Human-Computer Interaction. Theoretical Approaches and Design Methods}, editor = {Kurosu, Masaaki}, keywords = {itegpub}, month = {06}, pages = {40–56}, publisher = {Springer International Publishing}, series = {Lecture Notes in Computer Science}, title = {Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction}, volume = 13302, year = 2022 }
%0 Conference Paper %1 10.1007/978-3-031-05311-5_3 %A Draude, Claude %A Klumbytė, Goda %B Human-Computer Interaction. Theoretical Approaches and Design Methods %C Cham %D 2022 %E Kurosu, Masaaki %I Springer International Publishing %P 40--56 %R 10.1007/978-3-031-05311-5_3 %T Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction %V 13302 %X Starting from the need for responsible research and innovation in computing, this paper addresses the challenges that come from working with the social sciences and the humanities in human-computer interaction. In this paper, we attempt to move beyond interdisciplinarity towards transdisciplinarity. In particular, we explore concepts of hybridity and third spaces that are used in HCI participatory design practices. We trace back the postcolonial, decolonial and feminist scholarship basis of these concepts and look at how their critical potential can inform a conceptualization of what we call hybrid methodology in its own right. For this, we present three case studies. The first two work with experimental spaces in artistic research and research through design, the third works with intersectional critical and speculative methodologies in machine learning systems design. The first two case studies center around the discussions of disciplinary openness through experimentation as a way of moving beyond interdisciplinarity towards transdisciplinarity; the third zooms in on the role of critical theoretical knowledge from the social sciences and the humanities as knowledge that enables new orientations in research and design of IT systems. %@ 978-3-031-05311-5
Prospects for a New Materialist Informatics. Klumbytė, Goda; Draude, Claude. In Vol. 3. 2022.
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@periodical{klumbyte2022prospects, editor = {Klumbytė, Goda and Draude, Claude}, journal = {Matter: Journal of New Materialist Research}, keywords = {itegpub}, month = {02}, number = 1, title = {Prospects for a New Materialist Informatics}, volume = 3, year = 2022 }
%0 Generic %1 klumbyte2022prospects %D 2022 %E Klumbytė, Goda %E Draude, Claude %J Matter: Journal of New Materialist Research %N 1 %T Prospects for a New Materialist Informatics %U https://revistes.ub.edu/index.php/matter/issue/view/2720 %V 3

2021[ to top ]

Getting a Handle on Critical Pedagogies: Notes on Interdependencies and Care in Interdisciplinary Technoscience. Britton, Loren; Klumbytė, Goda; Draude, Claude; Paehr, Isabel. In Gendered Configurations of Humans and Machines, Vol. 8, J. Büssers, A. Faulhaber, M. Raboldt, R. Wiesner (eds.), pp. 265–281. Barbara Budrich, 2021.
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@incollection{britton2021getting, author = {Britton, Loren and Klumbytė, Goda and Draude, Claude and Paehr, Isabel}, booktitle = {Gendered Configurations of Humans and Machines}, editor = {Büssers, Jan and Faulhaber, Anja and Raboldt, Myriam and Wiesner, Rebecca}, keywords = {itegpub}, pages = {265-281}, publisher = {Barbara Budrich}, series = {L'AGENda}, title = {Getting a Handle on Critical Pedagogies: Notes on Interdependencies and Care in Interdisciplinary Technoscience}, volume = 8, year = 2021 }
%0 Book Section %1 britton2021getting %A Britton, Loren %A Klumbytė, Goda %A Draude, Claude %A Paehr, Isabel %B Gendered Configurations of Humans and Machines %D 2021 %E Büssers, Jan %E Faulhaber, Anja %E Raboldt, Myriam %E Wiesner, Rebecca %I Barbara Budrich %P 265-281 %T Getting a Handle on Critical Pedagogies: Notes on Interdependencies and Care in Interdisciplinary Technoscience %V 8 %@ 978-3-8474-2494-9
Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design. Klumbyte, Goda; Draude, Claude; Taylor, Alex. In CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter, of CHItaly ’21. Association for Computing Machinery, Bolzano, Italy, 2021.
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This workshop draws on feminist and other critical methodologies to construct interdisciplinary interventions in the design of machine learning systems. Theoretical concepts of “figuration”, “situating/situated knowledge”, “critical fabulation/speculation,” and “diffraction” are explored through hands-on experimentation to imagine and design machine learning systems in a more situated, inclusive, contextualize and accountable way. Through this “theory turned practice” approach the workshop aims to address systemic socio-cultural biases and develop more socially responsible frameworks of design. The workshop provides space for building a network for future research on interdisciplinary machine learning systems design.
@inproceedings{10.1145/3464385.3467475, abstract = {This workshop draws on feminist and other critical methodologies to construct interdisciplinary interventions in the design of machine learning systems. Theoretical concepts of “figuration”, “situating/situated knowledge”, “critical fabulation/speculation,” and “diffraction” are explored through hands-on experimentation to imagine and design machine learning systems in a more situated, inclusive, contextualize and accountable way. Through this “theory turned practice” approach the workshop aims to address systemic socio-cultural biases and develop more socially responsible frameworks of design. The workshop provides space for building a network for future research on interdisciplinary machine learning systems design.}, address = {New York, NY, USA}, author = {Klumbyte, Goda and Draude, Claude and Taylor, Alex}, booktitle = {CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter}, keywords = {itegpub}, publisher = {Association for Computing Machinery}, series = {CHItaly '21}, title = {Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design}, year = 2021 }
%0 Conference Paper %1 10.1145/3464385.3467475 %A Klumbyte, Goda %A Draude, Claude %A Taylor, Alex %B CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter %C New York, NY, USA %D 2021 %I Association for Computing Machinery %R 10.1145/3464385.3467475 %T Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design %U https://doi.org/10.1145/3464385.3467475 %X This workshop draws on feminist and other critical methodologies to construct interdisciplinary interventions in the design of machine learning systems. Theoretical concepts of “figuration”, “situating/situated knowledge”, “critical fabulation/speculation,” and “diffraction” are explored through hands-on experimentation to imagine and design machine learning systems in a more situated, inclusive, contextualize and accountable way. Through this “theory turned practice” approach the workshop aims to address systemic socio-cultural biases and develop more socially responsible frameworks of design. The workshop provides space for building a network for future research on interdisciplinary machine learning systems design. %@ 9781450389778

2020[ to top ]

Abstracting Otherwise: In Search for a Common Strategy of Arts and Computing. Klumbytė, Goda; Britton, Loren. In ASAP/Journal, 5(1), pp. 19–43. Project Muse, 2020.
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@article{Klumbyte_2020, author = {Klumbytė, Goda and Britton, Loren}, journal = {ASAP/Journal}, keywords = {itegpub}, number = 1, pages = {19-43}, publisher = {Project Muse}, title = {Abstracting Otherwise: In Search for a Common Strategy of Arts and Computing}, volume = 5, year = 2020 }
%0 Journal Article %1 Klumbyte_2020 %A Klumbytė, Goda %A Britton, Loren %D 2020 %I Project Muse %J ASAP/Journal %N 1 %P 19-43 %R 10.1353/asa.2020.0001 %T Abstracting Otherwise: In Search for a Common Strategy of Arts and Computing %U https://doi.org/10.1353%2Fasa.2020.0001 %V 5
Situated algorithms: a sociotechnical systemic approach to bias. Draude, Claude; Klumbytė, Goda; Lücking, Phillip; Treusch, Pat. In Online Information Review, 44(2), pp. 325–342. 2020.
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@article{draude2020situated, author = {Draude, Claude and Klumbytė, Goda and Lücking, Phillip and Treusch, Pat}, journal = {Online Information Review}, keywords = {itegpub}, number = 2, pages = {325-342}, title = {Situated algorithms: a sociotechnical systemic approach to bias}, volume = 44, year = 2020 }
%0 Journal Article %1 draude2020situated %A Draude, Claude %A Klumbytė, Goda %A Lücking, Phillip %A Treusch, Pat %D 2020 %J Online Information Review %N 2 %P 325-342 %R 10.1108/OIR-10-2018-0332 %T Situated algorithms: a sociotechnical systemic approach to bias %V 44
Said the Bot to the Computer: 57th collected significant residue transmission between MIT and SliMoSA3. Klumbytė, Goda; Britton, Loren. In Arts of the Working Class, (120), pp. 26–27. 2020.
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@article{klumbyte2020computer, author = {Klumbytė, Goda and Britton, Loren}, journal = {Arts of the Working Class}, keywords = {itegpub}, number = 120, pages = {26-27}, series = {The New Serenity}, title = {Said the Bot to the Computer: 57th collected significant residue transmission between MIT and SliMoSA3}, year = 2020 }
%0 Journal Article %1 klumbyte2020computer %A Klumbytė, Goda %A Britton, Loren %B The New Serenity %D 2020 %J Arts of the Working Class %N 120 %P 26-27 %T Said the Bot to the Computer: 57th collected significant residue transmission between MIT and SliMoSA3 %U http://artsoftheworkingclass.org/text/said-the-bot-to-the-computer
Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept. Klumbyte, Goda; Lücking, Phillip; Draude, Claude. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, of NordiCHI ’20. Association for Computing Machinery, Tallinn, Estonia, 2020.
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This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal.
@inproceedings{10.1145/3419249.3420120, abstract = {This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal.}, address = {New York, NY, USA}, author = {Klumbyte, Goda and Lücking, Phillip and Draude, Claude}, booktitle = {Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society}, keywords = {itegpub}, publisher = {Association for Computing Machinery}, series = {NordiCHI '20}, title = {Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept}, year = 2020 }
%0 Conference Paper %1 10.1145/3419249.3420120 %A Klumbyte, Goda %A Lücking, Phillip %A Draude, Claude %B Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society %C New York, NY, USA %D 2020 %I Association for Computing Machinery %R 10.1145/3419249.3420120 %T Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept %U https://doi.org/10.1145/3419249.3420120 %X This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal. %@ 9781450375795
Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept. Klumbytė, Goda; Lücking, Phillip; Draude, Claude. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, of NordiCHI ’20, pp. 1–12. Association for Computing Machinery, New York, NY, USA, 2020.
- [ Abstract ]
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- [ EndNote ]
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This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal.
@inproceedings{10.1145/3419249.3420120, abstract = {This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal.}, address = {New York, NY, USA}, author = {Klumbytė, Goda and Lücking, Phillip and Draude, Claude}, booktitle = {Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society}, keywords = {itegpub}, number = 67, pages = {1-12}, publisher = {Association for Computing Machinery}, series = {NordiCHI '20}, title = {Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept}, year = 2020 }
%0 Conference Paper %1 10.1145/3419249.3420120 %A Klumbytė, Goda %A Lücking, Phillip %A Draude, Claude %B Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society %C New York, NY, USA %D 2020 %I Association for Computing Machinery %N 67 %P 1-12 %R 10.1145/3419249.3420120 %T Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept %U https://doi.org/10.1145/3419249.3420120 %X This paper investigates how Algorithmic Experience (AX) can be used as a conceptual tool to help make algorithms and experiences of them visible through systems design and how interactions might be designed in order to elicit conscious and critical examination. Can algorithmic systems be positioned as critical artifacts? If so, to what extent? The paper reflects on interactions between users and the Social Privilege Estimator– a social scoring system based on facial recognition and classification that was built as a critical design artifact in order to raise awareness of existing inequalities and adverse effects of facial recognition systems. We argue that critical design can and should be used for AX and human-algorithm interaction design in order to support algorithmic literacy and critical capacity of the users and we suggest some conceptual reframings of AX towards this goal. %@ 9781450375795
Lost in Translation: An Interactive Workshop Mapping Interdisciplinary Translations for Epistemic Justice. Wan, Evelyn; de Groot, Aviva; Jameson, Shazade; Păun, Mara; Lücking, Phillip; Klumbytė, Goda; Lämmerhirt, Danny. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, of FAT* ’20, p. 692. Association for Computing Machinery, Barcelona, Spain, 2020.
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There are gaps in understanding in and between those who design systems of AI/ ML, those who critique them, and those positioned between these discourses. This gap can be defined in multiple ways - e.g. methodological, epistemological, linguistic, or cultural. To bridge this gap requires a set of translations: the generation of a collaborative space and a new set of shared sensibilities that traverse disciplinary boundaries. This workshop aims to explore translations across multiple fields, and translations between theory and practice, as well as how interdisciplinary work could generate new operationalizable approaches. We define 'knowledge' as a social product (L. Code) which requires fair and broad epistemic cooperation in its generation, development, and dissemination. As a "marker for truth" (B. Williams) and therefore a basis for action, knowledge circulation sustains the systems of power which produce it in the first place (M. Foucault). Enabled by epistemic credence, authority or knowledge, epistemic power can be an important driver of, but also result from, other (e.g. economic, political) powers. To produce reliable output, our standards and methods should serve us all and exclude no-one. Critical theorists have long revealed failings of epistemic practices, resulting in the marginalization and exclusion of some types of knowledge. How can we cultivate more reflexive epistemic practices in the interdisciplinary research setting of FAT*? We frame this ideal as 'epistemic justice' (M. Geuskens), the positive of 'epistemic injustice', defined by M. Fricker as injustice that exists when people are wronged as a knower or as an epistemic subject. Epistemic justice is the proper use and allocation of epistemic power; the inclusion and balancing of all epistemic sources. As S. Jasanoff reminds us, any authoritative way of seeing must be legitimized in discourse and practice, showing that practices can be developed to value and engage with other viewpoints and possibly reshape our ways of knowing. Our workshop aims to address the following questions: how could critical theory or higher level critiques be translated into and anchored in ML/AI design practices - and vice versa? What kind of cartographies and methodologies are needed in order to identify issues that can act as the basis of collaborative research and design? How can we (un)learn our established ways of thinking for such collaborative work to take place? During the workshop, participants will create, share and explode prototypical workflows of designing, researching and critiquing algorithmic systems. We will identify moments in which translations and interdisciplinary interventions could or should happen in order to build actionable steps and methodological frameworks that advance epistemic justice and are conducive to future interdisciplinary collaboration.
@inproceedings{10.1145/3351095.3375685, abstract = {There are gaps in understanding in and between those who design systems of AI/ ML, those who critique them, and those positioned between these discourses. This gap can be defined in multiple ways - e.g. methodological, epistemological, linguistic, or cultural. To bridge this gap requires a set of translations: the generation of a collaborative space and a new set of shared sensibilities that traverse disciplinary boundaries. This workshop aims to explore translations across multiple fields, and translations between theory and practice, as well as how interdisciplinary work could generate new operationalizable approaches. We define 'knowledge' as a social product (L. Code) which requires fair and broad epistemic cooperation in its generation, development, and dissemination. As a "marker for truth" (B. Williams) and therefore a basis for action, knowledge circulation sustains the systems of power which produce it in the first place (M. Foucault). Enabled by epistemic credence, authority or knowledge, epistemic power can be an important driver of, but also result from, other (e.g. economic, political) powers. To produce reliable output, our standards and methods should serve us all and exclude no-one. Critical theorists have long revealed failings of epistemic practices, resulting in the marginalization and exclusion of some types of knowledge. How can we cultivate more reflexive epistemic practices in the interdisciplinary research setting of FAT*? We frame this ideal as 'epistemic justice' (M. Geuskens), the positive of 'epistemic injustice', defined by M. Fricker as injustice that exists when people are wronged as a knower or as an epistemic subject. Epistemic justice is the proper use and allocation of epistemic power; the inclusion and balancing of all epistemic sources. As S. Jasanoff reminds us, any authoritative way of seeing must be legitimized in discourse and practice, showing that practices can be developed to value and engage with other viewpoints and possibly reshape our ways of knowing. Our workshop aims to address the following questions: how could critical theory or higher level critiques be translated into and anchored in ML/AI design practices - and vice versa? What kind of cartographies and methodologies are needed in order to identify issues that can act as the basis of collaborative research and design? How can we (un)learn our established ways of thinking for such collaborative work to take place? During the workshop, participants will create, share and explode prototypical workflows of designing, researching and critiquing algorithmic systems. We will identify moments in which translations and interdisciplinary interventions could or should happen in order to build actionable steps and methodological frameworks that advance epistemic justice and are conducive to future interdisciplinary collaboration.}, address = {New York, NY, USA}, author = {Wan, Evelyn and de Groot, Aviva and Jameson, Shazade and Păun, Mara and Lücking, Phillip and Klumbytė, Goda and Lämmerhirt, Danny}, booktitle = {Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency}, keywords = {interdisciplinary_collaboration}, pages = 692, publisher = {Association for Computing Machinery}, series = {FAT* ’20}, title = {Lost in Translation: An Interactive Workshop Mapping Interdisciplinary Translations for Epistemic Justice}, year = 2020 }
%0 Conference Paper %1 10.1145/3351095.3375685 %A Wan, Evelyn %A de Groot, Aviva %A Jameson, Shazade %A Păun, Mara %A Lücking, Phillip %A Klumbytė, Goda %A Lämmerhirt, Danny %B Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency %C New York, NY, USA %D 2020 %I Association for Computing Machinery %P 692 %R 10.1145/3351095.3375685 %T Lost in Translation: An Interactive Workshop Mapping Interdisciplinary Translations for Epistemic Justice %U https://doi.org/10.1145/3351095.3375685 %X There are gaps in understanding in and between those who design systems of AI/ ML, those who critique them, and those positioned between these discourses. This gap can be defined in multiple ways - e.g. methodological, epistemological, linguistic, or cultural. To bridge this gap requires a set of translations: the generation of a collaborative space and a new set of shared sensibilities that traverse disciplinary boundaries. This workshop aims to explore translations across multiple fields, and translations between theory and practice, as well as how interdisciplinary work could generate new operationalizable approaches. We define 'knowledge' as a social product (L. Code) which requires fair and broad epistemic cooperation in its generation, development, and dissemination. As a "marker for truth" (B. Williams) and therefore a basis for action, knowledge circulation sustains the systems of power which produce it in the first place (M. Foucault). Enabled by epistemic credence, authority or knowledge, epistemic power can be an important driver of, but also result from, other (e.g. economic, political) powers. To produce reliable output, our standards and methods should serve us all and exclude no-one. Critical theorists have long revealed failings of epistemic practices, resulting in the marginalization and exclusion of some types of knowledge. How can we cultivate more reflexive epistemic practices in the interdisciplinary research setting of FAT*? We frame this ideal as 'epistemic justice' (M. Geuskens), the positive of 'epistemic injustice', defined by M. Fricker as injustice that exists when people are wronged as a knower or as an epistemic subject. Epistemic justice is the proper use and allocation of epistemic power; the inclusion and balancing of all epistemic sources. As S. Jasanoff reminds us, any authoritative way of seeing must be legitimized in discourse and practice, showing that practices can be developed to value and engage with other viewpoints and possibly reshape our ways of knowing. Our workshop aims to address the following questions: how could critical theory or higher level critiques be translated into and anchored in ML/AI design practices - and vice versa? What kind of cartographies and methodologies are needed in order to identify issues that can act as the basis of collaborative research and design? How can we (un)learn our established ways of thinking for such collaborative work to take place? During the workshop, participants will create, share and explode prototypical workflows of designing, researching and critiquing algorithmic systems. We will identify moments in which translations and interdisciplinary interventions could or should happen in order to build actionable steps and methodological frameworks that advance epistemic justice and are conducive to future interdisciplinary collaboration. %@ 9781450369367
Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design. Klumbytė, Goda; Draude, Claude; Britton, Loren. 2020.
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In this paper we interrogate the practices of imagining in human-computer interaction (HCI), particularly in scenario building (SBE) and persona construction. We discuss the philosophical premises of HCI imaginings in rationalism, cognitivism and phenomenology, and we propose (feminist) new materialist philosophy as an enriching perspective that helps generate a holistic, relational perspective of users, imaginaries and technologies. In the end we explore the method of figurations as a potential tool for HCI design.
@misc{klumbyte2020reimagining, abstract = {In this paper we interrogate the practices of imagining in human-computer interaction (HCI), particularly in scenario building (SBE) and persona construction. We discuss the philosophical premises of HCI imaginings in rationalism, cognitivism and phenomenology, and we propose (feminist) new materialist philosophy as an enriching perspective that helps generate a holistic, relational perspective of users, imaginaries and technologies. In the end we explore the method of figurations as a potential tool for HCI design.}, author = {Klumbytė, Goda and Draude, Claude and Britton, Loren}, keywords = {itegpub}, title = {Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design}, year = 2020 }
%0 Generic %1 klumbyte2020reimagining %A Klumbytė, Goda %A Draude, Claude %A Britton, Loren %D 2020 %T Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design %U https://arxiv.org/abs/2003.02312 %X In this paper we interrogate the practices of imagining in human-computer interaction (HCI), particularly in scenario building (SBE) and persona construction. We discuss the philosophical premises of HCI imaginings in rationalism, cognitivism and phenomenology, and we propose (feminist) new materialist philosophy as an enriching perspective that helps generate a holistic, relational perspective of users, imaginaries and technologies. In the end we explore the method of figurations as a potential tool for HCI design.

2019[ to top ]

The Emergent Environmental Humanities: Engineering the Social Imaginary. Weidner, Chad; Braidotti, Rosi; Klumbyte, Goda. In Connotations - A Journal for Critical Debate, ISSN 0939-5482(28), pp. p. 1–25. Connotations Society, 2019.
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If the Environmental Humanities (EH) matter, an essential concern is whether we can speak of the possibility of a philosopher of literary and ecological identity. This paper discusses the intersection points of the Environmental Humanities to the wider scientific debate. It suggests that the EH are suited to help construct knowledge for sustainable futures. The arrival of the Anthropocene provides opportunities to cross disciplinary boundaries. Ecocriticism investigates the complex and contradictory relationship between humans and the environment in literature. Ideas of citizenship allow space for conversation about civic responsibility and stewardship. Animal studies intervenes deeply across the humanities, which acknowledges the interspecies imaginary. Future techno-scientific developments make us reconsider distinctions between humans, animals, and machines. The concept of the posthuman emphasizes how profound changes will be for all species. Serious questions might best be answered by environmental philosophy, which articulates the impact of the environment on humans. New Materialism explains why matter matters, and has clear implications for the study of the environment. Work in postcolonial and digital media provides a platform to challenge geographic borders as well as reconsider national contexts. Essentially, this paper asserts that the EH is building critical mass, and functions as a lightning rod between the arts and sciences. Such a development has profound consequences for the future of literary studies.
@article{https://doi.org/10.25623/conn28-weidner-et-al-1, abstract = {If the Environmental Humanities (EH) matter, an essential concern is whether we can speak of the possibility of a philosopher of literary and ecological identity. This paper discusses the intersection points of the Environmental Humanities to the wider scientific debate. It suggests that the EH are suited to help construct knowledge for sustainable futures. The arrival of the Anthropocene provides opportunities to cross disciplinary boundaries. Ecocriticism investigates the complex and contradictory relationship between humans and the environment in literature. Ideas of citizenship allow space for conversation about civic responsibility and stewardship. Animal studies intervenes deeply across the humanities, which acknowledges the interspecies imaginary. Future techno-scientific developments make us reconsider distinctions between humans, animals, and machines. The concept of the posthuman emphasizes how profound changes will be for all species. Serious questions might best be answered by environmental philosophy, which articulates the impact of the environment on humans. New Materialism explains why matter matters, and has clear implications for the study of the environment. Work in postcolonial and digital media provides a platform to challenge geographic borders as well as reconsider national contexts. Essentially, this paper asserts that the EH is building critical mass, and functions as a lightning rod between the arts and sciences. Such a development has profound consequences for the future of literary studies.}, author = {Weidner, Chad and Braidotti, Rosi and Klumbyte, Goda}, journal = {Connotations - A Journal for Critical Debate}, keywords = {itegpub}, number = 28, pages = {p. 1-25}, publisher = {Connotations Society}, title = {The Emergent Environmental Humanities: Engineering the Social Imaginary}, volume = {ISSN 0939-5482}, year = 2019 }
%0 Journal Article %1 https://doi.org/10.25623/conn28-weidner-et-al-1 %A Weidner, Chad %A Braidotti, Rosi %A Klumbyte, Goda %D 2019 %I Connotations Society %J Connotations - A Journal for Critical Debate %N 28 %P p. 1-25 %R 10.25623/conn28-weidner-et-al-1 %T The Emergent Environmental Humanities: Engineering the Social Imaginary %U http://www.es-repo.uni-tuebingen.de/stable/connotations/weidner-braidotti-klumbyte028.pdf %V ISSN 0939-5482 %X If the Environmental Humanities (EH) matter, an essential concern is whether we can speak of the possibility of a philosopher of literary and ecological identity. This paper discusses the intersection points of the Environmental Humanities to the wider scientific debate. It suggests that the EH are suited to help construct knowledge for sustainable futures. The arrival of the Anthropocene provides opportunities to cross disciplinary boundaries. Ecocriticism investigates the complex and contradictory relationship between humans and the environment in literature. Ideas of citizenship allow space for conversation about civic responsibility and stewardship. Animal studies intervenes deeply across the humanities, which acknowledges the interspecies imaginary. Future techno-scientific developments make us reconsider distinctions between humans, animals, and machines. The concept of the posthuman emphasizes how profound changes will be for all species. Serious questions might best be answered by environmental philosophy, which articulates the impact of the environment on humans. New Materialism explains why matter matters, and has clear implications for the study of the environment. Work in postcolonial and digital media provides a platform to challenge geographic borders as well as reconsider national contexts. Essentially, this paper asserts that the EH is building critical mass, and functions as a lightning rod between the arts and sciences. Such a development has profound consequences for the future of literary studies.
Situated algorithms: a sociotechnical systemic approach to bias. Draude, Claude; Klumbyte, Goda; Lücking, Phillip; Treusch, Pat. In OIR (Online Information Review), ahead-of-print(ahead-of-print), pp. 16–34. 2019.
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@article{draude, author = {Draude, Claude and Klumbyte, Goda and Lücking, Phillip and Treusch, Pat}, journal = {OIR (Online Information Review)}, keywords = {itegpub}, number = {ahead-of-print}, pages = {16-34}, title = {Situated algorithms: a sociotechnical systemic approach to bias}, volume = {ahead-of-print}, year = 2019 }
%0 Journal Article %1 draude %A Draude, Claude %A Klumbyte, Goda %A Lücking, Phillip %A Treusch, Pat %D 2019 %J OIR (Online Information Review) %N ahead-of-print %P 16-34 %R 10.1108/OIR-10-2018-0332 %T Situated algorithms: a sociotechnical systemic approach to bias %V ahead-of-print
Doing thinking: revisiting computing with artistic research and technofeminism. Britton, Loren; Klumbyte, Goda; Draude, Claude. In Digital Creativity, 30(4), pp. 1–16. 2019.
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@article{brittondoing, author = {Britton, Loren and Klumbyte, Goda and Draude, Claude}, journal = {Digital Creativity}, keywords = {itegpub}, number = 4, pages = {1-16}, title = {Doing thinking: revisiting computing with artistic research and technofeminism}, volume = 30, year = 2019 }
%0 Journal Article %1 brittondoing %A Britton, Loren %A Klumbyte, Goda %A Draude, Claude %D 2019 %J Digital Creativity %N 4 %P 1-16 %R 10.1080/14626268.2019.1684322 %T Doing thinking: revisiting computing with artistic research and technofeminism %V 30

2018[ to top ]

Extended Cognition. Klumbytė, Goda. In Posthuman Glossary, R. Braidotti, M. Hlavajova (eds.), pp. 148–150. Bloomsbury Academic, London, 2018.
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@incollection{klumbyte2018extended, address = {London}, author = {Klumbytė, Goda}, booktitle = {Posthuman Glossary}, editor = {Braidotti, Rosi and Hlavajova, Maria}, keywords = {itegpub}, pages = {148-150}, publisher = {Bloomsbury Academic}, title = {Extended Cognition}, year = 2018 }
%0 Book Section %1 klumbyte2018extended %A Klumbytė, Goda %B Posthuman Glossary %C London %D 2018 %E Braidotti, Rosi %E Hlavajova, Maria %I Bloomsbury Academic %P 148-150 %T Extended Cognition
Re-Considering Bias: What Could Bringing Gender Studies and Computing Together Teach Us About Bias in Information Systems?. Draude, Claude; Klumbyte, Goda; Treusch, Pat. In Proceedings of International Workshop on Bias in Information, Algorithms, and Systems co-located with 13th International Conference on Transforming Digital Worlds (iConference 2018), J. Bates, P. D. Clough, R. Jäschke, J. Otterbacher (eds.). CEUR Workshop Proceedings, 2018.
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@inproceedings{draude2018reconsidering, author = {Draude, Claude and Klumbyte, Goda and Treusch, Pat}, booktitle = {Proceedings of International Workshop on Bias in Information, Algorithms, and Systems co-located with 13th International Conference on Transforming Digital Worlds (iConference 2018)}, editor = {Bates, Jo and Clough, Paul D. and Jäschke, Robert and Otterbacher, Jahna}, keywords = {itegpub}, publisher = {CEUR Workshop Proceedings}, title = {Re-Considering Bias: What Could Bringing Gender Studies and Computing Together Teach Us About Bias in Information Systems?}, year = 2018 }
%0 Conference Paper %1 draude2018reconsidering %A Draude, Claude %A Klumbyte, Goda %A Treusch, Pat %B Proceedings of International Workshop on Bias in Information, Algorithms, and Systems co-located with 13th International Conference on Transforming Digital Worlds (iConference 2018) %D 2018 %E Bates, Jo %E Clough, Paul D. %E Jäschke, Robert %E Otterbacher, Jahna %I CEUR Workshop Proceedings %T Re-Considering Bias: What Could Bringing Gender Studies and Computing Together Teach Us About Bias in Information Systems? %U http://ceur-ws.org/Vol-2103/
Acceptability by Design: Integrating Gender Research in HCI. Draude, Claude; Klumbyte, Goda. In Proceedings of CHI’18 Workshop on (Un)Acceptable!?! – Re-thinking the Social Acceptability of Emerging Technologies, M. Koelle, H. Proﬁta, T. Olsson, R. Mitchell, J. Williamson, S. Kane, S. Boll (eds.). 2018.
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@inproceedings{draude2018acceptability, author = {Draude, Claude and Klumbyte, Goda}, booktitle = {Proceedings of CHI’18 Workshop on (Un)Acceptable!?! – Re-thinking the Social Acceptability of Emerging Technologies}, editor = {Koelle, Marion and Proﬁta, Halley and Olsson, Thomas and Mitchell, Robb and Williamson, Julie and Kane, Shaun and Boll, Susanne}, keywords = {itegpub}, title = {Acceptability by Design: Integrating Gender Research in HCI}, year = 2018 }
%0 Conference Paper %1 draude2018acceptability %A Draude, Claude %A Klumbyte, Goda %B Proceedings of CHI’18 Workshop on (Un)Acceptable!?! – Re-thinking the Social Acceptability of Emerging Technologies %D 2018 %E Koelle, Marion %E Proﬁta, Halley %E Olsson, Thomas %E Mitchell, Robb %E Williamson, Julie %E Kane, Shaun %E Boll, Susanne %T Acceptability by Design: Integrating Gender Research in HCI %U https://socialacceptabilityworkshop.uol.de/2018/proceedings/CHI18-SociallyAcceptableCHI-draude.pdf

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M.A. Goda Klumbyte

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