Calendar

No readings or responses

Quinn, M. J. (2017). Ethics for the information age. Pearson. (Section 2.1.-2.11)

No reading responses

ACM Code of Ethics and Professional Conduct (skim)

“Be Careful What You Code For”, Danah Boyd (2016)

Washington, A. L., & Kuo, R. (2020, January). Whose side are ethics codes on? power, responsibility and the social good. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 230-240).

Optional “Are we having an ethical crisis in computing?” by Moshe Y. Vardi, Communications of the ACM, 62(1), 7-7, 2019.

Milestone Idea Fair

No readings or responses, but get started on those for Thursday!

Winner, L. (1980). Do artifacts have politics?. Daedalus. (15 pages)

Green, B. (2020). Data science as political action: grounding data science in a politics of justice. Available at SSRN 3658431. (~20 pages)

Parvin, N., & Pollock, A. (2020). Unintended by Design: On the Political Uses of “Unintended Consequences”. Engaging Science, Technology, and Society, 6, 320-327. (7 pages)

Optional Rogaway, Phillip. “The moral character of cryptographic work.” Cryptology ePrint Archive (2015).

Optional Crawford, Kate. “Excavating AI: The Politics of Training Sets for Machine Learning.”

Milestone Project Proposal

Kentaro Toyama (2015). Geek Heresy: Rescuing Social Change from the Cult of Technology, Chapter 2. Public Affairs.

Wright, James. “Inside Japan’s long experiment in automating elder care.” MIT Technology Review, (2023).

Optional Goodman, R., Tip, L., & Cavanagh, K. (2021). There’s an app for that: Context, assumptions, possibilities and potential pitfalls in the use of digital technologies to address refugee mental health. Journal of Refugee Studies, 34(2), 2252-2274.

Hong Shen, Cori Faklaris, Haojian Jin, Laura Dabbish, and Jason I. Hong. 2020. ‘I Can’t Even Buy Apples If I Don’t Use Mobile Pay?’: When Mobile Payments Become Infrastructural in China. Proc. ACM Hum.-Comput. Interact. 4, CSCW2.

Plantin, Jean-Christophe, Carl Lagoze, Paul N. Edwards, and Christian Sandvig. “Infrastructure studies meet platform studies in the age of Google and Facebook.” New media & society 20, no. 1 (2018): 293-310.

Mohamed, Shakir, Marie-Therese Png, and William Isaac. Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence. Philosophy & Technology 33 (2020): 659-684.

Irani, L., Vertesi, J., Dourish, P., Philip, K., & Grinter, R. E. (2010, April). Postcolonial computing: a lens on design and development. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1311-1320).

Das, Dipto, Carsten Østerlund, and Bryan Semaan.“‘Jol’ or ‘Pani’?: How Does Governance Shape a Platform’s Identity?.” Proceedings of the ACM on Human-Computer Interaction 5, no. CSCW2 (2021): 1-25.

Optional The Wubi Effect – a Radio Lab episode on how Chinese characters didn’t fit on a keyboard

Optional Rachels, James, and Stuart Rachels. The elements of moral philosophy 7e. McGraw Hill, 2012. Read 2nd Chapter on Cultural Relativity.

D’Ignazio, C., & Klein, L. F. (2020). Data feminism. MIT Press. (Read Introduction and The Power Chapter)

Buolamwini, J., & Gebru, T. (2018, January). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency (pp. 77-91).

Optional “Technically Female: Women, Machines, and Hyperemployment” by Helen Hester, 2016 (10 pages)

Milestone Methods Section (or similar)

Guest Speaker Golden Owens

Golden Owens (2025). From Maid to Machine: Her, Hegemony, and the Twenty-First Century Mammy. (to appear)

Benjamin, R. (2019). Race after technology: Abolitionist tools for the new jim code. Social Forces. (read pages 1-17)

Christina Harrington and Tawanna R Dillahunt. 2021. Eliciting Tech Futures Among Black Young Adults: A Case Study of Remote Speculative Co-Design. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ‘21). Association for Computing Machinery, New York, NY, USA, Article 397, 1–15.

Field, A., Blodgett, S. L., Waseem, Z., & Tsvetkov, Y. (2021). A Survey of Race, Racism, and Anti-Racism in NLP. arXiv preprint arXiv:2106.11410.

Optional Hankerson, D., Marshall, A. R., Booker, J., El Mimouni, H., Walker, I., & Rode, J. A. (2016, May). Does technology have race?. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 473-486).

Optional Ogbonnaya-Ogburu, I. F., Smith, A. D., To, A., & Toyama, K. (2020, April). Critical Race Theory for HCI. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-16).

Optional Schlesinger, A., O’Hara, K. P., & Taylor, A. S. (2018, April). Let’s talk about race: Identity, chatbots, and AI. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

“Can you make an AI that isn’t Ableist?” by Shari Trewin, MIT Technology Review

Other Readings TBDTBD

Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018, April). The dark (patterns) side of UX design. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

Mathur, Arunesh, Mihir Kshirsagar, and Jonathan Mayer.“What makes a dark pattern… dark? Design attributes, normative considerations, and measurement methods.” In Proceedings of the 2021 CHI conference on human factors in computing systems, pp. 1-18. 2021.

Gray, C. M., Chivukula, S. S., & Lee, A. (2020, July). What Kind of Work Do” Asshole Designers” Create? Describing Properties of Ethical Concern on Reddit. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (pp. 61-73).

OptionalDark Patterns case study in The ACM Ethics Code.

OptionalThe Infinite Scroll By David Roth in the Columbia Journalism Review.

Milestone Project Fair Round 1

No readings or responses, but get started on those for Thursday!

Gillespie, T. (2018). Custodians of the Internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press. (read chapter 1, p. 1 - 24)

“Everything You Need to Know About Section 230”, The Verge, 2020.

Bruckman, Amy. “Should you believe Wikipedia?” Chapter from “Should You Believe Wikipedia?” from Cambridge University Press. (17 pages)

Optional “Burnout, splinter factions and deleted posts: Unpaid online moderators struggle to manage divided communities” by Heather Kelley, The Washington Post, 2020

Optional “Blue Feed, Red Feed” by Jon Keegan, 2016

Optional “Why Facebook can’t fix itself” by Andrew Marantz, The New Yorker, 2020

Guest Speaker Nino Migineishvili

“Anatomy of an AI System” by Kate Crawford et al., 2018 (14 pages)

Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2019). Green AI. arXiv preprint arXiv:1907.10597. (9 pages)

Borning, A., Friedman, B., & Logler, N. (2020). The ‘invisible’ materiality of information technology. Communications of the ACM, 63(6), 57-64.

Optional Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., … & Luccioni, A. (2019). Tackling climate change with machine learning. arXiv preprint arXiv:1906.05433.

Optional “Open letter to Jeff Bezos and the Amazon Board of Directors” by Amazon Employees for Climate Justice, 2019

Optional “The Cloud is Not the Territory” by Ingrid Burrington, 2014

Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514.

“It’s Not Privacy, and It’s Not Fair” by Cynthia Dwork et al., 2013

Obada-Obieh, Borke, Yue Huang, Lucrezia Spagnolo, and Konstantin Beznosov. “Sok: The dual nature of technology in sexual abuse.” In 2022 IEEE Symposium on Security and Privacy (SP), pp. 2320-2343. IEEE, 2022.

Optional “Think You’re Discreet Online? Think Again” by Zeynep Tufekci, The New York Times, 2019

Jo, E. S., & Gebru, T. (2020, January). Lessons from archives: Strategies for collecting sociocultural data in machine learning. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 306-316).

Noopur Raval and Paul Dourish. 2016. Standing Out from the Crowd: Emotional Labor, Body Labor, and Temporal Labor in Ridesharing. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW ‘16). Association for Computing Machinery, New York, NY, USA, 97–107.

Optional Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., … & Horton, J. (2013, February). The future of crowd work. In CSCW 2013.

Optional Barbosa, N. M., & Chen, M. (2019, May). Rehumanized crowdsourcing: a labeling framework addressing bias and ethics in machine learning. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-12).

Madaio, M. A., Stark, L., Wortman Vaughan, J., & Wallach, H. (2020, April). Co-designing checklists to understand organizational challenges and opportunities around fairness in AI. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

Elish, Madeleine Clare. “Moral crumple zones: Cautionary tales in human-robot interaction.” Engaging Science, Technology, and Society 5 (2019): 40-60.

Optional Crawford, K. (2019). Regulate facial-recognition technology. Nature, 572(7771), 565-565. (1 page)

Optional Computer says no: why making AIs fair, accountable and transparent is crucial by Ian Sample, The Guardian, 2017

Optional Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, and Hanna Wallach. 2021. Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘21). Association for Computing Machinery, New York, NY, USA, 368–378.

Abebe, R., Barocas, S., Kleinberg, J., Levy, K., Raghavan, M., & Robinson, D. G. (2020, January). Roles for computing in social change. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 252-260).

Diakopoulos, Nicholas, Sorelle Friedler, Marcelo Arenas, Solon Barocas, Michael Hay, Bill Howe, Hosagrahar Visvesvaraya Jagadish et al. Principles for accountable algorithms and a social impact statement for algorithms. FAT/ML (2017).

Feffer, Michael, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, and Hoda Heidari. “Red-Teaming for generative AI: Silver bullet or security theater?.” In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, vol. 7, pp. 421-437. 2024.

Optional Bruckman, A. (2020). ‘Have you thought about…’ talking about ethical implications of research. Communications of the ACM, 63(9), 38-40.

Milestone Project Fair Round 2

Poster session + Wrap up. No readings or responses