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Hi! I'm at UMU, exploring digital health technologies from a patient-centric perspective. I come from a Design+HCI background, and have been interested in interdisciplinary health/medical research. My current projects examine the role and relevance of participatory and collaborative methods that make use of self-tracked data and AI/ML tools as design materials, for developing novel preventive physiotherapy interventions.

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Hi all :-D Im a 2nd year PhD at Tema Genus at LiU. Im part of the project Operationalising Ethics for AI where my focus is on Explainable AI. Looking forward to seeing a lot of familiar faces - and to meeting a bunch of new ones!

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Hi everyone!

I am Adriana, currently halfway trough my PhD in Urban Studies in Malmö University. I am particularly interested in how Urban AI is affecting local governance. How are these systems altering the inner workings of local governments? And how,  in turn, does their deployment reshape urban life?

In other words, I see AI not just as a technology but as an urban policy.

My research focuses on AI´s adoption in Latin American cities. I explore the regional adoption of AI, considering how repeated uses of these technologies reveal broader trends in urban governance across the region. Buenos Aires, Argentina, is my key case study, where I’ll be examining how AI is reworking local governance.

Looking forward to meeting you!

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Hi all!

I am Kristina, a PhD student based at the dept. of medical cell biology and also part of the Medical Humanities graduate program at Uppsala University. My project studies metaphors of the immune system, exploring how imagery and theory can influence interpretation of data and the types of research questions asked. It also looks to the impact of alternative metaphors and theory in studying the immune system, and why metaphors of “war” have been favored over those of “peace” and homeostasis. I am especially interested in the roles of the immune system in maintaining homeostasis, repair, growth, development, and even regeneration. Methods I’ve been using are thematic analysis, text mining, machine learnning and AI. I have a background in medicine, neuroscience, and philosophy.

I’m looking forward to meeting and learning from you all in this course!

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Hi all, my name is Camilla, and I just booked my half-time seminar for March next year! I am an interdisciplinary doctoral student at the Department of ALM and part of the graduate program in Medical Humanities at Uppsala University. My research is focused on open record access to medical records within pediatric psychiatry, aiming to problematize sensitive recordkeeping in a digitalized society. I have a philosophical background and am very interested in secrets, censorship, and ethics. Looking forward to meeting you all and seeing beautiful Norrköping again, and ofcourse having pizza!

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Hi everyone! I am PhD candidate in the history of media and environment at KTH Royal Institute of Technology. My project focuses on the use of machine learning and AI in forest monitoring both in a historical and contemporary perspective. In brief, I use theories from semiotics to explain how sensors and algorithms create new kinds of forest politics. My background is in history of knowledge (MA) and social anthropology (BA), but nowadays I sit somewhere between STS, media studies and environmental humanities.

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I am Gaye Askin, 1st year PhD student at Lund University. I have been working on gender attribution to social robotics for 4 years. My PhD project focuses on feminist approach to child-robot interaction.

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Hello! I am a 3rd year PhD student and a member of the Responsible AI group at the department of Computing Science at Umeå University. My research is in AI explainability and interpretability. In particular, I am interested in considerations for how explainability may both support and undermine human control over AI systems. Looking forward to this course and meeting everyone in Norrköping!

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Hi! My name is Mo. I'm a PhD student at Uppsala University, Department of ALM (Archives, Libraries, and Museums) and I've just started my second year. My thesis focuses on the practice of archiving digital intangible cultural heritage with the help of artificial intelligence, and the consequences this practice entails for the archive in regards to authenticity of cultural heritage. My thesis considers implications of using AI and ML for archiving ICH with a focus on how preserving ICH with the help of AI influences the authenticity of digital embodied heritage.

I'm looking forward to the course and meeting you all!

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I am Denitsa, a final-year PhD student in Computer Science at Chalmers University of Technology. My work focuses on AI for the study of political behavior. I am interested in NLP and language modelling, in particular – language representation and model interpretability. I study how language models learn and use facts and how we can detect the learned associations.

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Hej!

I am Gaye Aşkın first year PhD student at Lund University (LUCS Robotics) . I have been working on gender attribution to social robotics for nearly 4 years. My PhD project focuses on feminist approach to child robot interaction.

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Hello everyone! My name is Aleksandra, and I am a 3rd-year PhD student at the Center for Retailing, Stockholm School of Economics. I specialize in consumer behavior and marketing communications. My research focuses on customer-facing technologies and AI-driven transformations within the retail sector. As AI-enabled applications and devices increasingly rely on consumer data, a significant part of my dissertation explores how this growing demand for data impacts consumers' perceptions of privacy. I am very excited about the course and look forward to seeing you all soon!

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I am Alex, 3rd year PhD student from Stockholm University's Department of Education. I am exploring how emerging AI technologies influence higher education practices, raise new ethical questions, and mediate relationships between teachers and students. I am very much looking forward to this course!

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Hi everyone! My name is Shan Wang, a second-year PhD student from Norwegian University of Science and Technology in Trondheim, Norway. There are three key words in my research: AI, fairness, and hiring, where I study how fairness is operationalized, interpreated and redefined after the introduction of AI in hiring, and how does the usage of AI influences hiring practices regarding fairness. My research is situated in the STS field with enthnographic fieldwork with developers, HR practitioners, and job seekers. Feminist technoscience is always my favorite research field and I would love to contribute to the feminist thinking on AI based on my project. With the help of this course, I hope I can propose an alternative way to position AI in the society to go beyond the existing dualistic discourses.

I look forward to learning more about your cool project! See you soon in Norrköping!

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Hello, I am Nasrin. I will be presenting my PhD’s half time seminar in December. I am based in Uppsala and studying in the department of ALM (Archives, Libraries, Museums). The purpose of my thesis is to assess the possibilities and challenges that arise from the application of AI methods and tools for pictorial collections in Swedish museums. I think the most interesting research question of my thesis is the one that seeks to answer “how does the application of AI modify bias caused by ethnicity and gender representation in pictorial collections?”

So far, I’ve mostly been diving into the theory part of my thesis—lots of reading (literature and theories) and trying to write something that makes sense :) Inherently, I really like the interdisciplinary nature of my PhD thesis, but I’ve also found it challenging to make meaningful links between humanities theories and technical research. I am looking forward to seeing you all and learning new stuff!

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Chapt 1 of What that Robot Made Me Feel

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Chapt 9 of What that Robot Made Me Feel

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Hey everyone!

I'm Max Waleij, a PhD student in Ethnic and Migration Studies at REMESO, Linköping university. My project concerns A.I., biometrics, and surveillance of marginalized populations from a biopolitical perspective. I became affiliated with the WASP-HS graduate school last spring and had my first course this fall in Gothenburg. It was amazing and I look forward to seeing both some familiar and new faces in Norrköping at the end of October.

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Hi my name is Christl, I am a second-year PhD candidate at Linköping University. I conduct my research within the Sex Media & Sex Cultures research group of the Gender Studies department. I combine feminist and media theory with philosophy of technology to explore relations with sex technologies.

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Hi everyone, my name is Marie and I'm a bit beyond half way in my PhD studies in Media and Communication Studies at Uppsala University. My research interest evolves around corporeality as an ethical terrain in the age of pervasive datafication, in particular the datafication of embodied identity through biometric AI . Based on combining existential media theory and feminist new materialisms and STS, I explore this topic through studying biohacking as an existential practice. Based on ethnographic fieldwork with artists who apply biohacking as a methodology, I argue that biohacking can articulate emancipatory, caring and relational modes to twist metric knowledge for a feminist ethic of response-ability.

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Hello! I am Silvia Ecclesia, a second-year PhD student in STS at the Norwegian University of Science and Technology in Trondheim. My research is about sociotechnical imaginaries of Artificial Intelligence with a focus on represented hierarchies and power. I am very interested in Feminist STS and post-humanism applied to the area of imaginaries. I am part of a project called BIAS looking into AI for human resources which is my case study, but I also look at robots and fictions.

I am very excited about the course and look forward to meeting you all!

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I am Oshin, a second year PhD student in the STS division at Chalmers University of Technology. My project focuses on the ongoing development of the Artificial Amniotic Sac and Placenta Technology (also known as the artificial womb or the artificial placenta technology, depending on the approach undertaken by the developers). With a background in sociology and design research, I primarily use an ethnographic methodology to follow scientists and technologists working within one of the several projects geared towards developing the artificial placenta.

I very much look forward to the course!

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A researcher holding hands with a hard-to-get robot (Tish does not work with this robot, it is a fun-based friendship)

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I am Laetitia (but call me Tish, otherwise I will only be amazed that someone else has the same first name as me!). I am a third year PhD student, I am based at Lund University, though my empirical work has been conducted in the UK. I look at socially assistive robots for care, by focusing in on informal caregivers -- especially children who provide care. My empirical work is with young carers in the UK, as I was a young carer in the UK (and no one has done work with young carers in human-robot interactions, so someone needed to do it ethically :))

Looking forward to this course!

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Hej! My name is Sophie Mainz, and I am a doctoral candidate in political science at the Department of Government in Uppsala. My work focuses on (gender and minority) group identities, politician's communication strategies and how these are received by citizens: how do individuals react to femonationalist speech (messages that employ women's rights for anti-immigrant claims)? What happens if elite politicians use AI to signal membership in social minority groups in their campaigning? And does it matter who does the speaking? These are some of the questions I am seeking to answer in my work. With that I situate myself in the field of gender and politics, identity politics and political communication. I am further deeply interested in quantitative methods: so far my studies rely on survey experiments, but I am also building a knowledge base in computational social science (CSS) to use Machine Learning approaches for large scale analysis of political images and text.

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I'm Kelsey. I'm coming up to the halfway mark in my PhD at Chalmers University of Technology. My work is focused in musical (specifically voice related) interactions with AI: building, developing and playing with various architectures that parse or synthesise human voice. I also do live audio coding (with my AI voice samples).

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Hi!

I am a 3rd year PhD candidate at the Centre for Gender Research, Uppsala University. My project is interdisciplinary and includes the fields of Gender Studies, Robotics, and Critical Military Studies. In particular, I look at how gender is embedded and relational to the wearable robots called 'exoskeletons' in the armed forces. I use the theoretical frameworks of (1) practices of militarised masculinities; and (2) posthumanist feminist new materialisms. My qualitative methods are digital content analysis and interviews.

I am very much looking forward to this course and to learn more about everyone's project! /Vanessa

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Hej! My name is Miriah Meyer, and I'm a Professor in the Department of Science & Technology. My background is in computer science and my research focus is in data visualization. I'm looking forward to discussions with you all!

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This is a current exhibition at the Museum of Work.

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https://www.pappagrappa.se/matbaren/

Please check out their menu and email me your selection the week before the course. (Ericka.johnson@liu.se)

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http://cup.columbia.edu/book/robotic-knitting/9783837652031

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The Androchair Performing Gynaecology through the Practice of Gender Critical Design

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Decoding feminity and computer science in India

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Robots vs migrants Reconfiguring the future of Japanese institutional eldercare

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DeFalco_Towards a Theory of Posthuman Care

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Benjamin Race After Technology Technological Benevolence chapt 4

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Professor Lauren Klein, Digital humanities, Data science, Early American Literature

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Professor Lauren Klein, Emory University, will zoom in and speak about the work she and Catherine D'Ignazio did for Data Feminism, which is the book several of the readings for this course are taken from. Please feel free to bring questions about the book that it may trigger when you are reading for this course, because now is your chance to ask them! For this session, please also read her newest piece about Data Feminism for AI.

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The Whole Thing Smacks Of Gender: Algorithmic Exclusion In Body Composition Analysis And Beyond

Maggie Delano & Kendra Albert

Companies such as Withings and Fitbit tout composition analysis as providing self-knowledge and the ability to make more informed decisions. However, these aspirational statements elide the reality that these numbers are a product of proprietary regression equations that require a binary sex/gender as their input. In this talk, we'll discuss results from a recent paper that combines transgender studies-influenced personal narrative with an analysis of the scientific basis behind the bioimpedance technology used as part of the Withings smart scale. Attempting to answer the question of how to include nonbinary people reveals that bioelectrical impedance analysis has always rested on physiologically shaky ground, with White nonbinary people being merely the tip of the iceberg of those who may find that their smart scales is not so intelligent when it comes to their bodies. Using body composition analysis as an example, we explore how the problem of trans and nonbinary inclusion in personal health tech goes beyond the issues of adding a third "gender" box or slapping on a rainbow flag on some packaging.
BIO:
Maggie is an Assistant Professor at Swarthmore College, where she teaches computer engineering courses and an inclusive design course. Her current technical research focuses on the development of a wearable monitoring system for patients with Congestive Heart Failure. She also has multiple collaborations related to building more inclusive devices.

Kendra is a public interest technology lawyer with a special interest in computer security law and freedom of expression. They serve as a clinical instructor at the Cyberlaw Clinic at Harvard Law School, where they teach students to practice law by working with pro bono clients. Kendra is also the founder and director of the Initiative for a Representative First Amendment. They serve on the board of the ACLU of Massachusetts and the Tor Project, and provide support as a legal advisor for Hacking // Hustling.

Discutant:
Rebecka Weegar, lecturer at the department of computer and systems sciences at Stockholm University. She does research on natural language processing with a specific interest in applications in the domains of health and education.

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220309 Delano & Albert: "The Whole Thing Smacks Of Gender"

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The Whole Thing Smacks Of Gender: Algorithmic Exclusion In Body Composition Analysis And BeyondMaggie Delano & Kendra AlbertCompanies such as Withings and Fitbit tout composition analysis as providing self-knowledge and the ability to make more informed decisions. However, these aspirational statements elide the reality that these numbers are a product of proprietary regression equations that require a binary sex/gender as their input.

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Hi! I'm a Professor of Gender & Society at Linköping University, and currently leading the WASP-HS graduate school. I'm super happy so many of you wanted to take a course on feminist technoscience! Please use the spaces to the right to introduce yourself and tell everyone a bit about your PhD research.

See you in Norrköping!

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About 30 minutes in she talks extensively about the Cyborg Manifesto.

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Virtual Event - Halfway to the Future 2024

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As part of the Halfway to the Future Symposium, the University of California Santa Cruz will be live streaming a conversation between Donna Haraway and Fred Turner taking place on the evening of Monday October 21, 2024, from 7 p.m. to 8 p.m., with local audience Q and A to follow.

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Please, under the bio about you to the right, upload one slide or an A4 pdf that illustrates how something we talked about in the class (a theoretical term, a debate, a field of research) is relevant to your study. Be prepared to answer some questions about what new ideas you may have started to mull over after our two days together.

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What can we do differently? Here comes some inspiration. And I want to know your tips and tricks for mustering the courage to get out of bed and do better each day, too.

Required readings:

Costanza-Chock, S. (2020) “Intro” (pp. 1-9) and the first half of chapter 1 “Design Values: Hard-Coding Liberation?” (pp. 31-46) in Design Justice MIT Press: Cambridge.

Ehrnberger K, Räsänen M, Börjesson E, Hertz A-C and Sundbom C (2017) The androchair: Performing gynaecology through the practice of gender critical design. The Design Journal 20(2): 181-198.

Søndergaard, ML. & Hansen, L. (2018) Intimate Futures: Staying with the Trouble of Digital Personal Assistants through Design Fiction. DIS '18, June 9–13, 2018, Hong Kong

Meyer, M & J Dykes (2020) Criteria for Rigor in Visualization Design Study. IEEE Transactions on Visualization and Computer Graphics vol 26(1).

D’Ignazio, C. & Klein, L. (2019) ‘Conclusion: Now let’s multiply’ Chapter 7 (pp. 203-214) in Data Feminism. Cambridge: MIT Press. (Open access here: http://datafeminism.io )

If you want more:

Disalvo, C. (2012) Adversarial Design. MIT Press. Cambridge.

Escobar, A. (2018) Designs for the Pluriverse. Duke University Press. Durham

Costanza-Chock, S. (2020) Design Justice. MIT Press

McPherson, T. (2018) Feminist in a Software Lab. Difference + Design. Harvard University Press: Cambridge.

Börjesson E., A. Isaksson, S. Ilstedt, K. Ehrnberger (2016). “Visualizing gender – norm-critical design and innovation” in Alsos, G A Hytti, U & Ljunggren E (eds.) Research Handbook on Gender and Innovation. London: Edward Elgar Publishing Limited.

Wikberg Nilsson, Å. & M. Jahnke (2018). Tactics for Norm-Creative Innovation shi ji 4(4):375 391.

Wachter-Boettcher, Sara (2017) Technically Wrong. Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. W. W. Norton and Company

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It is easy to think that the digital workplace is somewhere in Silicon Valley. Or maybe connected to a Northern University. But there is much more. Feminist technoscience reminds us to think about the contingencies of the digital… here comes some work that is sensitive to contexts and actors in complex ways.

Required reading

D’Ignazio, C. & Klein, L. (2019) ‘Unicorns, Janitors, Ninja, Wizards, and Rock Stars’ Chapter 5 (pp. 125-148) in Data Feminism. Cambridge: MIT Press. (Open access here: http://datafeminism.io )

Varley, T. & P. Kaminski (2021) Intersectional Synergies: Untangling Irreducible Effects of Intersecting Identities via Information Decomposition. PNAS pp.1-10.

Amrute, A. (2016) “Introduction: Cognitive work, cognitive bodies” (pp. 1-26) in Encoding Race, Encoding Class. Indian IT Workers in Berlin. Durham: Duke University Press.

Crawford & Joler (2018) Anatomy of an AI system. https://anatomyof.ai

Varma, R & D Kapur (2015) Decoding Femininity in Computer Science in India Communications of the ACM58(5).

Ruckenstein, M. & L. Turunen (2020) Re-Humanizing the platform: Content moderators and the logic of care. new media & society. 22(6)_1026-1042

If you want more

Amrute, A. (2016) Encoding Race, Encoding Class. Indian IT Workers in Berlin. Durham: Duke University Press.

Cote, A. (2020) Gaming Sexism. Gender and identity in the era of casual video games. NYU Press: New York.

Hicks, M. (2017) A Feature, Not a Bug (http://www.technologystories.org/a-feature-not-a-bug/)

Condis, M (2015) No homosexuals in Star Wars? Convergence 21(2):198-212

Kafai, Y et al 2008 Beyond Barbie and Mortal Kombat: New Perspectives on Gender and Gaming. MIT Press: Cambridge

Liu, C. & R. Graham (2021) Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19. Big Data & Society.

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Think back to the Cockburn text you read for the introduction – Brothers – and remember the labour issues triggered by the process of feminization when computers were introduced. The women who would be working with the computers were going to get paid less than the men doing manual labour. Didn’t that strike you as a little off? Does that fit with how we think about gender and computers as a problem area today? Well, here’s some history…

Required readings:

Abbate, J. (2012) Introduction (pp.1-9) + Chapter 1 (pp.10-38) in Recoding Gender. Women’s Changing Participation in Computing. MIT Press. Cambridge.

Hicks, M. (2010) Only the Clothes Changed: Women Operators in British Computing and Advertising, 1950–1970 IEEE Annals of the History of Computing 32, no. 2 (October-December 2010) (http://marhicks.net/writing/clothes.html)

Ensmenger, N. (2015) ”Beards, Sandals, and Other Signs of Rugged Individualism OSIRIS 30:38-65

If you want more:

Hicks, M (2017) Programmed Inequality. MIT Press: Cambridge.

Hicks, M. (2013) De-Brogramming the History of Computing. IEEE Annals of the History of Computing. 88-86.

Abbate, J. (2012) Recoding Gender. Women’s Changing Participation in Computing. MIT Press. Cambridge.

Turkle, S. (1984) The Second Self. Computers and the Human Spirit. Boston: MIT Press

Adam, A. (1998) Artificial Knowing. Gender and the thinking machine. Routledge: London.

Plant, S (1998) Zeros and Ones: Digital Women and the New Technoculture. London: Doubleday.

Wajcman, J. (2004) TechnoFeminism London: Polity.

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Professor Jenny Rhee, Virginia Commonwealth University, collaborates with our group in Linköping. Her lecture, about her book, The Robotic Imaginary will be on zoom. Please read it before the lecture.

Required reading:

Rhee, J. (2018) The Robotic Imaginary. The Human & the price of dehumanized labor. Univ of MN Press: Minneapolis

Rhee, J. (forthcoming) 'Emotion AI, Deauthorization, and Imposition' in What that Robot Made Me Feel. MIT Press, Cambridge.

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Digital, embodied technologies do things to us, for us, with us… and they also say a lot about how we imagine ourselves and others – including The Other. Here we’ll be reading some more recent work on robots, but keep that cyborg manifesto (intro session) in the back of your head. I promise you, the authors we are reading have it sitting in theirs.  This will be a collective conversation about how feminist theory can inform robotics research.

Required readings:

DeFalco A. (2020) Towards a Theory of Posthuman Care: Real Humans and Caring Robots. Body & Society26(3):31-60.

Suchman, L. (2007) Human-Machine Reconfigurations: Plans and Situated Actions, 2nd ed. Cambridge: Cambridge University Press, 2007. Selected pages, pp.8-23.

White, D. & Katsuno, H (forthcoming) 'Western and Buddhist Psychological Models of emotion for Human-Robot Flourshing' in What that Robot Made me Feel. MIT Press: Cambridge

Winkle, K., D. McMillan, M. Arnelid, M. Balaam, K. Harrison, E. Johnson, I. Leite. (2023) Feminist Human-robot Interaction: Disentangling Power, Principles and Practice for Better, More Ethical HRI. HRI'23. ACM ISBN 978-1-4503-9964-7/23/03

Stengers, Y & J. Kennedy (2020) “Chapter 3: Pepper” (pp.49-78) in The Smart Wife. MIT Press: Cambridge.

Pat Treusch (2017) The Art of Failure in Robotics: Queering the (Un)making of Success and Failure in the Companion-Robot Laboratory. Catalyst: Feminism, Theory, Technoscience (3(2), 1-27.

If you want more:

Pat Treusch, Arne Berger, and Daniela K. Rosner. 2020. Useful Uselessness? Teaching Robots to Knit with Humans. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (DIS '20). ACM, 193–203. https://doi.org/10.1145/3357236.3395582

Wright, J. (2019) Robots vs migrants? Reconfiguring the future of Japanese institutional eldercare. Critical Asian Studies 51(3): 331-354.

Sparrow, R. (2020) Robotics Has a Race Problem. Science, Technology & Human Values 45(3): 538-560

Stengers, Y. & J. Kennedy (2020) The Smart Wife. MIT Press: Cambridge.

Soraa, R. (2017) Mechanical Genders: How do humans gender robots? Gender, Technology and Development. 21(1-2):99-115.

Robertson, J. (2018) Robo Sapiens Japanicus. Robots, Gender, Family, and the Japanese Nation. University of CA Press.

Katsuno, H. (2011) The Robot’s Heart. Japanese Studies 31:1(93-109)

Plant, S (2000) “On the Matrix: Cyberfeminist Simulations”, Chapt 4.2 in Kirkup, G et al (eds) The Gendered Cyborg. A Reader. Routledge pp.265-275

Adams, A. (2000) “Feminist AI Projects and Cyberfutures” Chapt 4.3 in Kirkup, G et al (eds) The Gendered Cyborg. A Reader. Routledge pp.276-290

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Prof Miriah Meyer, critical data visualization

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What can be data? How do we collect data? What histories do our data have? And what do these things do to the realms of possibility for our research? These are epistemological questions that feminism has long engaged with. Let’s think through our work with them.

Required readings:

D’Ignazio, C. & Klein, L.  (2019) “What gets counted counts” chapter 4 (pp.97-123) and “The Numbers Don’t Speak for Themselves” chapter 6 (pp. 149-172) in Data Feminism. Cambridge: MIT Press (Open access here: http://datafeminism.io )

Benjamin, R. (2019) Chapt 4 “Technological Benevolence” in Race After Technology. Abolitionist Tools for the new Jim Code. Polity pp. 137-159

Beauchamp, T. (2019) “Flying under the radar”, chapter 2 (pp. 50-78) in Going Stealth. Transgender Politics and U.S. Surveillance Practices Duke University Press: Durham.

Hicks, M. (2019) Hacking the CIS-tem. Transgender Citizens and the Early Digital State. IEEE Anals of the History of Computing (https://ieeexplore.ieee.org/document/8634814)

Scheuerman, M., K. Wade, C. Lustic, J. Brubaker, (2020) How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 58. https://doi.org/10.1145/3392866

Gonen, H. & Y. Goldberg (2019) Lipstick on a Pig: Debiasing Methods Cover up Systemic Gender Biases in Word Embeddings But do not Remove Them. arXiv:1903.03862v2

If you want more:

Albert, K. & M. Delano. 2021. “This Whole Thing Smacks of Gender”: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis. In Conference on Fairness, Accountability, and Transparency (FAccT ’21), March 3–10, 2021, Virtual Event, Canada. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3442188.3445898 (They also gave a great talk about this digitally in Umeå!)

Buolamwini, J. & T. Gebru (2018) Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research 81:1-15.

Benjamin, R. (2019) Race After Technology. Abolitionist Tools for the new Jim Code.

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This session introduces the field – where it started, what has influenced it, and the multiple conversations it is now part of with various disciplines. I’ve assigned some readings from various decades to kick us off. BTW, the cyborg manifesto is a staple of the field, but probably also older than most of you. I want to know how you react to it, reading it today.

Required readings:

Cockburn, C. (1983) Brothers: Male Dominance and Technological Change. London: Pluto. Pp. 3-13; 174-181.

Haraway, (1991[1988]) “Manifesto for Cyborgs: Science, Technology and Socialist Feminism in the 1980s” in Simians, Cyborgs, and Women: The Reinvention of Nature. New York: Routledge. pp. 149-181 (multiple versions are available on-line, e.g. https://www.tandfonline.com/doi/abs/10.1080/08164649.1987.9961538 )

Wajcman, J. (2000) Reflections on Gender and Technology Studies: In What State is the Art? Social Studies of Science. 30(3).

D’Ignazio, C. & Klein, L. (2019) “On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints” chapter 3 (pp.73-96) in Data Feminism. Cambridge: MIT Press. (Open access here: http://datafeminism.io )

Zaga, C & Lupetti, M L (2023) Diversity Equity and Inclusion in Embodied AI. University of Twente https://doi.org/10.3990/1.9789036553599

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Day 1: Monday, October 28, 2024 (9-12 in TP42; 12- 17.30 in KO22, see map below)

9:15-10:00 Introduction: Get riled up

10:00-10:30 Fika – will be provided – and introduction round

10:30-12:00 Session 1: What are the data of AI? Guest lecture by prof Miriah Meyer and discussion

12:00-13:00 Lunch (not provided)

13:00-14:00 Guided visit to Digitopia at the Museum of Work

14:00-15:30 Session 2: From cyborgs to post-human, with a focus on robots

15:30-16:00 Fika – will be provided

16:00-17:30 Session 3: Zoom lecture and discussion with Prof Jenny Rhee

17.45 Dinner together at Pappa Grappa's Pizza, Matbaren

Day 2: Tuesday, October 29, 2024 (8-12 in KO24; 12-18 in KO22, see map below)

8.30-10:00 Session 4: The digital has a history

10:00-10:30 Fika – will be provided

10:30-12:00 Session 5: The digital has contexts

12:00-13:15 Lunch (not provided)

13:15-14:00 Session 6: Critiquing and doing differently

14:00-15:00 Session 7: Zoom lecture by Prof Lauren Klein

15:00-15:30 Fika – will be provided

15:30-17.00 Session 8: Relating it to your work – AI as studied in WASP-HS

17:00-17.30 Session 9: Wrap-up and course evaluation

# data[].attributes.body
An in-person, two-day course. Students should do the reading in advance… and there is a significant amount of reading. Be warned.

Points: 3 HP

Pre-requisite: STS methods for autonomous systems & AI (suggested)

When/where: 28-29 October (2 full days), in Norrköping

Teacher: Ericka Johnson

Examination: Active participation for all sessions and reflection document for session 8

Interested? Send an email to ericka.johnson@liu.se describing what you are studying and how far along you are.