Week 1

Course Introduction

• Course Syllabus.
  • Please read through the syllabus

Lesson 1

Week 2

Do Artifacts Have Politics?

• Winner, L. (1980). Do Artifacts Have Politics?, Daedalus.
  • Feel free to watch this video as a primer (but not substitute!) to the article

• Engel, J. (2023). Turtle Island Decolonized: Mapping Indigenous Names across “North America”, Decolonial Atlas.
• Bensinger, G. (2020). Google redraws the borders on maps depending on who’s looking, The Washington Post.
• Kim, S. K. (2022). Search Engine: Notes from the North Korean-Chinese-Russian Border, Notes from the North.
• Morlin-Yron, S. (2017). What’s the real size of Africa? How Western states used maps to downplay size of continent, CNN.

Lesson 2

Solutionism

• Morozov, E. (2014). Against Solutionism, DLD Conference.

• Byrum, G. & Benjamin, R. (2022). Disrupting the Gospel of Tech Solutionism to Build Tech Justice, Stanford Social Innovation Review.
• Crandall, J. (2019). Blockchains and the “Chains of Empire”: Contextualizing Blockchain, Cryptocurrency, and Neoliberalism in Puerto Rico, Design and Culture, 11 (3).
• Cunningham, J., Benabdallah, G., Rosner, D., & Taylor, A. (2023). On the Grounds of Solutionism: Ontologies of Blackness and HCI, ACM Transactions on Computer-Human Interaction, 30 (2).

Lesson 3

Week 3

Science, Race, and Racism

• Zuberi, T. (2001). Thicker Than Blood, University of Minnesota Press.
  • If you are unfamiliar with Critical Race Theory, either check out this overview chapter or watch this video before reading.

• Chemerinsky, E., Crenshaw, K., Bridges, K. M., & Sykes, E. (2022). Why Critical Race Theory Matters, More Just from Berkeley Law.
• Onuoha, M. & Nucera, D. (2018). A People's Guide to AI, Allied Media.
• Torres, E. P. (2023). Eugenics in the Twenty-First Century: New Names, Old Ideas, Truthdig.
• Muhammad, K. G. (2010). The Condemnation of Blackness, Harvard University Press.

Lesson 4

Racial Capitalism

• Hannah-Jones, N. (2023). Capitalism (Episode 4), The 1619 Project (Hulu Series).
  • We recognize not everyone may have access to Hulu and as such have uploaded a version to Canvas. Also, this could be a great opportunity to come together (covid-safely, of course) with your learning pods and watch together in person!

• Joler, V. & Pasquinelli, M. (2020). The Nooscope Manifested, Fritz AI.
• Holland, B. (2023). Human Computers: The Early Women of NASA, History.
• Nakamura, L. (2014). Indigenous Circuits: Navajo Women and the Racialization of Early Electronic Manufacture, American Quarterly, 66 (4).
• Bitter, A. (2024). Amazon's Just Walk Out technology relies on hundreds of workers in India watching you shop, Business Insider.
• Precarity Lab (2020). Technoprecarious, Goldsmiths Press.

Lesson 5

Week 4

Race After Technology

• Benjamin, R. (2019). Race After Technology, Polity.

• Noble, S. (2018). Algorithms of Oppression, NYU Press.
• Hampton, L. M. (2021). Black Feminist Musings on Algorithmic Oppression, Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.
• Hannah-Jones, N. (2019). The Idea of America, The New York Times.

Lesson 6

Coded Bias

• Teachable Machine Tutorial, Google.
• Kantayya, S. (2020). Coded Bias, 7th Empire Media.
  • We recognize not everyone may have access to Netflix and as such have uploaded a version to Canvas. Also, this could be a great opportunity to come together (covid-safely, of course) with your learning pods and watch together in person!

• Miceli, M., Posada, J., & Yang, T. (2022). Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?, Proc. ACM Hum.-Comput. Interact., 1 (1).
• Bender, E. M., Gebru, T., McMillan-Major, A. & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, Conference on Fairness, Accountability, and Transparency.
• Park, T. K. (2021). Techno-Orientalism: Yellow Peril Pasts, Asian Futures, and the Marketing of the U.S. Collapse in the Video Game Homefront [Presentation], Indiana University East.

Lesson 7

Week 5

Algorithmic Ecology

• Stop LAPD Spying Coalition & Free Radicals (2020, March 2). The Algorithmic Ecology: An Abolitionist Tool for Organizing Against Algorithms, Medium.

• Amnesty International (2023). Automated Apartheid: How Facial Recognition Fragments, Segregates and Controls Palestinians in the Opt.
• Del Valle, G. (2024). Israel quietly rolled out a mass facial recognition program in the Gaza Strip, The Verge.
• Brumfiel, G. (2023). Israel is using an AI system to find targets in Gaza. Experts say it's just the start, NPR.
• Philip, T. M., Gupta, A., Elby, A. & Turpen, C. (2017). Why Ideology Matters for Learning: A Case of Ideological Convergence in an Engineering Ethics Classroom Discussion on Drone Warfare, Journal of the Learning Sciences, 27 (2).

Lesson 8

Week 6

Relationality

• Kimmerer, R. W. (2015). Braiding Sweetgrass, Milkweed Editions.

• Smith, M. (2022). Black/Land: A Conversation [Lecture], Harvard Graduate School of Design.
• Bang, M., Curley, L., Kessel, A., Marin, A., Suzukovich III, E. S., & Strack, G. (2014). Muskrat theories, tobacco in the streets, and living Chicago as Indigenous land, Environmental Education Research.
• Liboiron, M. (2021). Pollution is Colonialism, Duke University Press.

Extractivism

• Crawford, K. (2021). Atlas of AI, Yale University Press.
  • Important to note here the missing citations in Crawford's work from several Data & Society lab members who researched and brought up ideas from the book prior to Crawford's writing. See some details here.

• Learning in Places Collaborative (2020). Ethical Deliberation and Decision-Making in Socio-Ecological Systems Framework, Learning in Places.
  • Can find more info about Learning in Places here.
• Indigenous Protocol and Artificial Intelligence Working Group (2020). Indigenous Protocol and Artificial Intelligence, The Initiative for Indigenous Futures and the Canadian Institute for Advanced Research (CIFAR).
• Bang, M., Marin, A., & Medin, D. (2018). If Indigenous Peoples Stand with the Sciences, Will Scientists Stand with Us?, Daedalus, 147 (2).

Week 7

Design Narratives

• Costanza-Chock, S. (2020). Design Justice, MIT Press.
  • We'll be reading the chapter on Design Narratives, but you're welcome to check out the rest of the book on your own time (it's open access!)

• Williams, R., Smarr, S., Prioleau, D., & Gilbert, J. E. (2022). Oh No, Not Another Trolley! On the Need for a Co-Liberative Consciousness in CS Pedagogy, IEEE Journals & Magazine.

Lesson 11

Unintended Consequences

• Parvin, N. & Pollock, A. (2020). Unintended by Design: On the Political Uses of “Unintended Consequences”, Engaging Science, Technology, and Society, 6.
  • Feel free to watch Dr. Nassim Parvin's presentation as a primer (but not substitute!) to the article

• Instagram (2024). Continuing our Approach to Political Content on Instagram and Threads.
• Jigsaw & Google Counter Abuse Technology team (2023). Perspective API.

Lesson 12

Week 8

Data Capitalism

• Milner, Y., & Traub, A. (2020). Data Capitalism, Data for Black Lives.
  • No need to download the full report. Just check out the info on the website.
• Takahashi, A., Wang, S., & Li, C. (2020). Oh, the Places Your Data Will Go!, Free Radicals.
• Tactical Tech (2021). Data Detox x Youth.
  • There are versions available in other languages too.

• Lewis, T., Gangadharan, S. P., Saba, M., & Petty, T. (2018). Digital defense playbook: Community power tools for reclaiming data, Our Data Bodies.
• Lee, U. & Petty, T. (2021). From Protecting Ourselves to Taking Care of Each Other, Consentful Tech Project.
• Research Data Alliance International Indigenous Data Sovereignty Interest Group (2019). CARE Principles for Indigenous Data Governance, The Global Indigenous Data Alliance.

Lesson 13

AI Futures

• Gwadabe, A. (2022). African Ancestral AI, Data & Society Research Institute.
  • More stories are available in the series Parables of AI in/from the Majority World.
• Young, L. (2016). In The Robot Skies, Fear and Wonder.
• Harrington, C., Roberts, J., Bray, K., & Diakhate, N. (2021). Building Utopia Guidebook, Building Utopia.
  • Here's a sample of the Building Utopia cards.

• Klassen, S. & Fiesler, C. (2022). “Run Wild a Little With Your Imagination”: Ethical Speculation in Computing Education with Black Mirror, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE 2022), 1.
  • Check out the Internet Rules Lab for Black Mirror Writers Room slides and more.
• Hao, K. (2022). A new vision of artificial intelligence for the people, MIT Technology Review.
  • More articles available in the series AI Colonialism.
• Doyle-Burke, D. & Smith, J. (2020). Episode 1: Welcome to Radical AI, The Radical AI Podcast.

Lesson 14

Week 9

Insider

• Jones, S. T. & melo, n. a. (2021). We Tell These Stories to Survive: Towards Abolition in Computer Science Education, Canadian Journal of Science, Mathematics and Technology Education, 21.
  • More resources from the article available on this Linktree.

• Morrison, T. (1970/2007). The Bluest Eye, Vintage International.
• Ibsais, A. (2024). Imagining a Free Palestine, TIME.
• Anthropy, A. (2012). Dys4ia, Newgrounds.

Lesson 15

Outsider

• Wang, X. (2020). Blockchain Chicken Farm, Farrar, Straus and Giroux.
  • Feel free to check out Xiaowei Wang's Ted Talk too!

• Miceli, M., Posada, J., & Yang, T. (2022). Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?, Proc. ACM Hum.-Comput. Interact., 1 (1).
• Chicago Beyond (2019). Why Am I Always Being Researched?.
  • Great set of questions, especially from pages 60-82.
• Apol, L. (2021). Poetry, Poetic Inquiry and Rwanda, Springer.
  • From witness to withness...

Lesson 16

Week 10

So, What Now?

• Cath, C. & Keyes, O. (2022). Your Thoughts for a Penny? Capital, Complicity, and AI Ethics, Institute of Network Cultures (Theory on Demand Series), 46.

Lesson 17

Final Presentations

• Your choice!.

Week 11