Prepared by Prof. Elizabeth Milonas in the Department of Computer Systems Technology, this list of resources may be of use for faculty teaching in the computer-related disciplines who wish to address ethics and bias from an inclusive perspective.
CLASSROOM MATERIAL
- TED Talks:
- Buolamwini, Joy. “How I’m Fighting Bias in Algorithms.” TED Talks. November 2016. Video, 8:36. https://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms?language=en
- O’Neil, Cathy. “The Era of Blind Faith in Big Data Must End.” TED Talks. April 2017. Video, 13:11. https://www.ted.com/talks/cathy_o_neil_the_era_of_blind_faith_in_big_data_must_end?language=en
- Sharma, Kriti. “How To Keep Human Bias Out of AI.” TED Talks. March 2018. Video, 12:02. https://www.ted.com/talks/kriti_sharma_how_to_keep_human_bias_out_of_ai?language=en
- YouTube Videos:
- Ashe, Jabril. “Algorithmic Bias and Fairness: Crash Course AI #18.” YouTube. December 13, 2019. Video, 11:19. https://www.youtube.com/watch?v=gV0_raKR2UQ
- Hauser, Robin. “Can We Protect AI from our Biases.” YouTube. February 12, 2018. Video, 12:24. https://www.youtube.com/watch?v=eV_tx4ngVT0
- Thomas, Courtney. “Tech Bias and Algorithmic discrimination.” YouTube. July 22, 2019. Video, 13:42. https://www.youtube.com/watch?v=N9XaLNfExgM
- Journal Articles
- Sandvig, Christian, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort. “When the Algorithm Itself is a Racist: Diagnosisng Ethical Harm in the Basic Components of Software.” International Journal of Communication 10 (2016), 4972-4990. Available: http://social.cs.uiuc.edu/papers/pdfs/Sandvig-IJoC.pdf
- Magazines Articles:
- Brown, Annie. “Biased Algorithms Learn From Biased Data: 3 Kinds Biases Found in AI Datasets.” Forbes, February 7, 2020. Available: https://www.forbes.com/sites/cognitiveworld/2020/02/07/biased-algorithms/#62eb1ceb76fc
- Bushwick, Sophie. “Will Past Criminals reoffend? Homans Are Terrible at Guessing, and Computers Aren’t Much Better.” Scientific America, February 14, 2020. Available: https://www.scientificamerican.com/article/will-past-criminals-reoffend-humans-are-terrible-at-guessing-and-computers-arent-much-better/
- Finger, Lutz. “It’s The Data, Stupid! Why AI Might Get It Wrong.” Forbes, May 28, 2020. Available: https://www.forbes.com/sites/lutzfinger/2020/05/28/its-the-data-stupid-why-ai-might-get-it-wrong/#423c363141fd
- Lee, Nicol Turner, Paul Rsnick, and Genie Barton. “Algorithmic bias detection and mitigation: Best Practices and Policies to Reduce Consumer Harms.” Brookings, May 22, 2019. Available: https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
- Ongweso, Edward, Jr. “Racial Bias in AI Isn’t Getting Better and Neither Are Researchers’ Excuses.” Vice, July 29, 2019. Available: https://www.vice.com/en_us/article/8xzwgx/racial-bias-in-ai-isnt-getting-better-and-neither-are-researchers-excuses
- Peskoe-Yang, Lynne. “Algorithms Have Nearly Mastered Human Language. Why Can’t They Stop Being Sexist?” Vice, September 18, 2019. Available: https://www.vice.com/en_ca/article/vb53gb/algorithms-have-nearly-mastered-human-language-why-cant-they-stop-being-sexist
- Romano, Aja. “A Group of YouTubers is Trying to Prove the Site Systematically Demonetizes Queer Content.” Vox, October 10, 2019. Available: https://www.vox.com/culture/2019/10/10/20893258/youtube-lgbtq-censorship-demonetization-nerd-city-algorithm-report
- Truong, Kevin. “This Image of a White Barack Obama Is AI’s Racial Bias Problem in a Nutshell.” Vice, June 23, 2020. Available: https://www.vice.com/en_ca/article/7kpxyy/this-image-of-a-white-barack-obama-is-ais-racial-bias-problem-in-a-nutshell
TEACHING RESOURCES:
- Videos:
- University of Delaware College of Engineering Faculty and Staff Resources: Set of videos outlining strategy implementing awareness of bias. https://resources.engr.udel.edu/faculty/inclusive-teaching/
- Articles:
- Dyrud, Marilyn A. “Getting Started with Ethics.” 2019 CIEC, New Orleans, LA. . Available: https://peer.asee.org/getting-started-with-ethics
- Gardner, Carolyn Caffey. “Teaching Algorithmic Bias in a Credit-Bearing Course.” International Information & Library Review 51, no. 4 (2019): 321-327.
- “The Ten Commandments of Computer Ethics.”Computer Professionals for Social Responsibility (CPSR) Computer Ethics Institute. 2011. Available: http://cpsr.org/issues/ethics/cei/
- Book:
- O’Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. First edition. New York: Crown, 2016. (Available at the City Tech Library, call number QA76.9 .B45 O64 2017)
- Websites
- “Resources for Inclusive Teaching in Computer Science.” Michigan State University Accessed August 19, 2020 https://lib.msu.edu/Inclusiveteaching/ComputerScience/
