Week 1 (Feb 4): Introduction to Critical AI and Data Justice in Society
Introductory overview of seminar by Prof. Nitin Sawhney. Participatory session (using Miro) to get to know each other & discuss course topics, led by Henriette Friis, Sid Rao and Natalia Villaman.
Racial Justice | Decode the Default — The Internet Health Report 2020, Mozilla, January 2021.
Forget user experience. AI must focus on ‘citizen experience’, Jarno M. Koponen, Venture Beat, January 31, 2021.
Week 2 (Feb 11): Situating Big Data and AI in Societal Context
M. C. Elish and danah boyd. Situating Methods in the Magic of Big Data and Artificial Intelligence, Communication Monographs, 85:1, 57-80, 2017. (PDF)
Kate Crawford and Vladan Joler. Anatomy of an AI System: The Amazon Echo as an anatomical map of human labor, data and planetary resources, 2018.
Week 3 (Feb 18): Data Feminism
Catherine D’Ignazio and Lauren F. Klein. 2020. Introduction: Why Data Science Needs Feminism and The Power Chapter.* In Data Feminism. MIT Press. (PDF)
*Please note both chapters are assigned.
- Catherine D’Ignazio on Data Feminism, Feb 18, 2021
- Joy Buolamwini, Spoken word piece (2 min video) performed at Vision & Justice event at Radcliffe Institute for Advanced Study at Harvard University, April 26, 2019. Founder, Algorithmic Justice League, MIT Media Lab. >> Video
- Catherine D’Ignazio, Lecture (watch 10 min excerpt from 14:50 onwards) at the Eyeo Festival, 2019. >> Video
- Yeshimabeit Milner, Lecture (watch 10 min excerpt from 32:22 onwards) at the Newman Alumni Center, February 21, 2020. Founder of Data for Black Lives. >> Video
Week 4 (Feb 25): Re-imagining AI for the Global South
Sambasivan, N., Arnesen, E., Hutchinson, B., & Prabhakaran, V. Re-imagining Algorithmic Fairness in India and Beyond. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021)
Chinmayi Arun. AI and the Global South: Designing for Other Worlds, Forthcoming in Markus D. Dubber, Frank Pasquale, and Sunit Das (eds.), The Oxford Handbook of Ethics of AI, Oxford University Press. (PDF)
- Stefania Milan and Emiliano Treré. Big Data from the South(s): Beyond Data Universalism, Television & New Media. 2019;20(4):319-335. 2019.
- Elonnai Hickok, Sumandro Chattapadhyay and Sunil Abraham. Big Data in Governance in India: Case Studies, The Centre for Internet and Society, India, 2017. (PDF)
- A is for another: A dictionary for AI, a project by Maya Indira Ganesh.
- Payal Arora. Bottom of the Data Pyramid: Big Data and the Global South, International Journal of Communication, 2016. (PDF)
- Noopur Raval. Automating Informality: On AI and Labor in the Global South, Global Information Society Watch 2019. Artificial intelligence: Human rights, social justice and development.
Week 5 (Mar 4): Understanding the Ethics and Politics of AI
- AI Now 2017 Report, AI Now Institute at NYU, October 18, 2017. (PDF)
- AI Now 2019 Report, AI Now Institute at NYU, December 4, 2019. (PDF)
Read either report or both for this session.
- Ethics and Politics of AI in Society, Prof. Nitin Sawhney, Aalto University, August 3, 2020. >> Video
- The Politics of AI, Kate Crawford (video lecture), AI Now Institute at NYU, July 17, 2018. >> Video
Week 6 (Mar 11): AI Ethics in Practice: Designing for Citizens
Meeri Haataja, Linda van de Fliert and Pasi Rautio. Public AI Registers: Realising AI transparency and civic participation in government use of AI. Whitepaper Version 1.0, Saidot.ai, September, 2020. (PDF)
Drobotowicz, K., Kauppinen, M., Kujala, S., “Trustworthy AI Services in the Public Sector: What Are Citizens Saying about It?” To be published in the Proceedings of the 27th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ), April 12-15, 2021. (PDF)
- Nitin Sawhney. 2020. Te Awa Tupua: Sacred Rivers and Cooperative Urban AI Ecosystems. Workshop on Urban AI: Formulating an Agenda for the Interdisciplinary Research of Artificial Intelligence in Cities, Conference on Designing Interactive Systems (DIS 2020), July 6-20, 2020, Eindhoven, Netherlands. (PDF)
- Nitin Sawhney. 2019. Cooperative Crisis Response among Emergency Responders & AI Systems. Position paper for workshop on better supporting workers in ML workplaces, the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, November 9-13, 2019, Austin, TX, USA. (PDF)
- Rob Kitchin. 2016. The Ethics of Smart Cities and Urban Science. Phil. Trans. R. Soc. A 374: 20160115. (PDF)
- AI Ethics in Practice: Designing for Ecosystems, Prof. Nitin Sawhney, Aalto University, August 5, 2020. >> Video
Week 7 (Mar 18): Big Data and AI Surveillance
Zeynep Tufekci. Engineering the public: Big data, surveillance and computational politics, First Monday, Volume 19, Number 7 – 7 July 2014.
Shoshana Zuboff. Big Other: Surveillance Capitalism and the Prospects of an Information Civilization, Journal of Information Technology (2015) 30, 75–89. (PDF)
AI Surveillance during Pandemics:
Shachar, C., Gerke, S. and Adashi, E.Y. (2020), AI Surveillance during Pandemics: Ethical Implementation Imperatives. Hastings Center Report, 50: 18-21. (PDF)
Findlay, Mark James and Loke, Jia Yuan and Remolina, Nydia and Tham, Benjamin, Ethics, AI, Mass Data and Pandemic Challenges: Responsible Data Use and Infrastructure Application for Surveillance and Pre-emptive Tracing Post-crisis (May 4, 2020). SMU Centre for AI & Data Governance Research Paper No. 2020/02. (PDF)
Week 8 (Mar 25): Role of AI in Racial Bias and Discrimination
Joy Buolamwini and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, in PMLR 81:77-91. (PDF)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, and Emily Denton. 2020. Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20). Association for Computing Machinery, New York, NY, USA, 145–151. (PDF)
- Cade Metz. Who Is Making Sure the A.I. Machines Aren’t Racist? New York Times, March 15, 2021.
- Will Douglas Heaven. Predictive policing algorithms are racist. They need to be dismantled. MIT Technology Review, July 17, 2020.
- Joy Buolamwini, Gender Shades Project and Algorithmic Justice League, MIT Media Lab.
- Data for Black Lives
- Nani Jansen Reventlow. Data collection is not the solution for Europe’s racism problem. Al-Jazeera, 2020.
Special Event on March 25: Coded Bias: Unmasking the Abuses of Face Recognition Technologies in Society, film screening and panel discussion with filmmaker Shalini Kantayya and Prof. Nitin Sawhney, as part of the Color of Science public series at Aalto University. Register here.
Week 9 (Apr 1): Decolonizing AI and Indigenous Protocols
Jason Edward Lewis, et al. 2020. Indigenous Protocol and Artificial Intelligence Position Paper. Project Report. Indigenous Protocol and Artificial Intelligence Working Group and the Canadian Institute for Advanced Research, Honolulu, HI. (PDF)
Paz Peña and Joana Varon. Decolonising AI: A transfeminist approach to data and social justice, Global Information Society Watch 2019. Artificial intelligence: Human rights, social justice and development. (PDF)
Shakir Mohamed, Marie-Therese Png and William Isaac. 2020. Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence. Philosophy and Technology (405). (PDF)
- Ruth Irwin and Te Haumoana White. Decolonising Technological Futures: A dialogical tryptich between Te Haumoana White, Ruth Irwin, and Tegmark’s Artificial Intelligence, Futures, Volume 112, 2019, 102431, ISSN 0016-3287. (PDF)
- Geoff McMaster. Creating ethical AI from Indigenous perspectives, University of Alberta, October 23, 2020.
Week 10 (Apr 8): Alternative Futures: Human-Centred AI (HAI) and Civic AI
Guest Speaker: Hariharan Subramonyam, Ph.D. Candidate, University of Michigan, speaking about Centering People in the Design of AI Experiences
Hariharan Subramonyam. 2019. Designing Interactive Intelligent Systems for Human Learning, Creativity, and Sensemaking. In The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19). ACM, New York, NY, USA, 158–161.
Hariharan Subramonyam, Colleen Seifert, and Eytan Adar. (2020, November). ProtoAI: Model-Informed Prototyping for AI-Powered Applications [To Appear IUI’2021]
Open and speculative brainstorming session (using Miro) and course wrap-up discussion on future work. Students interested in writing essays or papers (due April 15) should share working outlines for peer feedback as well.
- AI and Collective Intelligence: case studies
- Google People + AI Handbook: Human-centric approach to AI
- Collection of CHI’21 preprints on topics related to computational HCI, data, algorithms and AI
For more readings and references, check out the Resources section of this site.