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Building Feminist Data

References

Feminist Data Keynote

Sinders, Caroline. (2018 August 16). How to make research-driven art. The Creative Independent. Online: https://thecreativeindependent.com/essays/how-to-make-research-driven-art/

Sinders, Caroline. (2020 July 29). How art allows for confrontation, exploration, and systematic problem solving. Broadcast.
Online: https://pioneerworks.org/broadcast/caroline-sinders-in-defense-of-useful-art/

Researched Based Artistic Activist Projects

“The works aren’t just to bear witness, though that alone would be worthwhile; they question, provocate and offer a solution to a problem. This should not be viewed as a form of techno-solutionism, however, the ‘solutions’ the artists provide are not meant to create an end to all other potential solutions, but serve to offer rather, temporary or open-source fixes for gaps in equity and violence created by society and are poetic witnesses of those gaps.” (Sinders 2020)

A People’s Guide to AI - https://alliedmedia.org/resources/peoples-guide-to-ai

Arte Útil - https://www.arte-util.org

American Artist - https://americanartist.us/

Adam Harvey - https://ahprojects.com/

Forensic Architecture - https://forensic-architecture.org/

Francis Tseng - https://frnsys.com/

Joanna Moll - http://www.janavirgin.com/

Mimi Onuoha - https://mimionuoha.com/

Nora Khan - https://noranahidkhan.com/

Tania Bruguera - http://www.taniabruguera.com/cms/

Scanmap - https://scanmap.mobi/

Video 1: How do computers understand language

Natural Language Processing System (IBM). https://www.ibm.com/cloud/learn/natural-language-processing

Video 2: What is data?

Mimi Onuoha. (2016). Library of Missing Datasets. https://mimionuoha.com/the-library-of-missing-datasets

Heather Dewey-Hagborg. (2020). Probably Chelsea. https://deweyhagborg.com/projects/probably-chelsea

Video 3: Data + AI

Agüera y Arcas, Blaise., Mitchell, Margaret., and Todorov, Alexander. (2017 May 6). Physiognomy’s New Clothes. Medium. https://medium.com/@blaisea/physiognomys-new-clothes-f2d4b59fdd6a

Alexander, Leigh. Do Google’s ‘unprofessional hair’ results show it is racist? The Guardian. Online: https://www.theguardian.com/technology/2016/apr/08/does-google-unprofessional-hair-results-prove-algorithms-racist

Buolamwini, Joy., and Gebru, Timni. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification._ PMLR 81_ (77): 77-91. http://proceedings.mlr.press/v81/buolamwini18a.html

Ekman, Paul., and Friesen, Wallace. (1978). Facial Action Coding System: A Technique for the Measurement of Facial Movement. Palo Alto: Consulting Psychologists Press.

Ekman Paul, Friesen Wallace V, and Hager Joseph C. (2002). Facial Action Coding System: The Manual on CD ROM. Salt Lake City: A Human Face.

Faception. https://www.faception.com/

Hjortsjol, Carl-Herman. (1969). Man’s Face and Mimic Language. Lund: Studen Litteratur.

Lakhani, Karim. (2020 September 25). AI in Enterprise Podcast: Episode 4 – Latayna Sweeney. Laboratory for Innovation Science. Harvard University. https://innovationscienceguide.org/resources/ai-in-enterprise-podcast-episode-4-latayna-sweeney-harvard

Kantayya, Shalini (Director). (2020). Coded Bias [film]. 7th Empire Media.

Robertson, Kate., Khoo, Cynthia., Song, Yolanda. (2020). To Surveil and Predict: A Human Rights Analysis of Algorithmic Policing in Canada. Citizen Lab and Human Rights Program, University of Toronto. https://citizenlab.ca/wp-content/uploads/2020/09/To-Surveil-and-Predict.pdf

Video 4: Language in Data Systems

BBC. (2020 May 4). Facebook uses 1.5bn Reddit posts to create chatbot. BBC News. https://www.bbc.com/news/technology-52532930

Hunt, Elle. (2016 March 24). Tay, Microsoft’s AI chatbot, gets a crash course in racism from Twitter. The Guardian. https://www.theguardian.com/technology/2016/mar/24/tay-microsofts-ai-chatbot-gets-a-crash-course-in-racism-from-twitter

Crawford, Kate., and Paglen, Trevor. (2019 September 19). Excavating AI: The Politics of Training Sets for Machine Learning. https://excavating.ai/

Video 5: Understanding Feminist Data

Critical Design - http://dunneandraby.co.uk/content/bydandr/42/0

Arte Útil - https://www.arte-util.org

Critical Engineering Manifesto - https://criticalengineering.org/

Xenofeminism - http://laboriacuboniks.net/

Feminist Principles of the Internet - https://www.apc.org/en/pubs/feminist-principles-internet-version-20

Crenshaw, Kimberlé. (1989). Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics. University of Chicago Legal Forum. https://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8

Constanza-Chalk, Sasha. (2020). Design Justice. MIT Press.

D’Ignazio., Catherine and Klein, Lauren. (2020). Feminist Data. MIT Press.

Video 6: Feminist Data Collection

MegaPixels - https://ahprojects.com/megapixels/

Solon, Olivia. (2019 March 12). Facial recognitions’s ‘dirty little secret’: Millions of online photos scraped without consent. NBC News. https://www.nbcnews.com/tech/internet/facial-recognition-s-dirty-little-secret-millions-online-photos-scraped-n981921

Vincent, James. (2017 22 August). Transgender YouTuber’s had their videos grabbed to train facial recognition software. The Verge. https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset

Cohen, Cathy. (2004). Deviance as Resistance: A New Research Agenda for the Study of Black Politics. Du Bois Review: Social Science Research on Race, 1(1), 27-45.

Research Data Alliance International Indigenous Data Sovereignty Interest Group. (September 2019). “CARE Principles for Indigenous Data Governance.” The Global Indigenous Data Alliance. https://static1.squarespace.com/static/5d3799de845604000199cd24/t/5da9f4479ecab221ce848fb2/1571419335217/CARE+Principles_One+Pagers+FINAL_Oct_17_2019.pdf

D’Ignazio, Catherine, and Lauren F. Klein. (2020) “Seven Intersectional Feminist Principles for Equitable and Actionable COVID-19 Data.” Big Data & Society. doi:10.1177/2053951720942544

Video 7: How to Create Feminist Data

Crenshaw, Kimberlé. (2016). The Urgency of Intersectionality. TED Talks. https://www.ted.com/talks/kimberle_crenshaw_the_urgency_of_intersectionality?language=en

Puar, Jasbir. (2012). “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory. philoSOPHIA 2(1), 49-66.

Thwaites, Thomas. (2010). How I Bult a Toaster - From Scratch. TED Talks. https://www.ted.com/talks/thomas_thwaites_how_i_built_a_toaster_from_scratch?language=en#t-7296