Lecture 17: Privacy and Surveillance PDF1 PDF2
Required: Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514.
Required: Jennifer Valentino-DeVries et al (NYT), Your Apps Know Where You Were Last Night, and They're Not Keeping It Secret
Optional: Nicole Meng, Dilara Keküllüoğlu, and Kami Vaniea. 2021. Owning and Sharing: Privacy Perceptions of Smart Speaker Users. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 45 (April 2021).
Optional Video: Latanya Sweeney - When Anonymized Data is Anything But Anonymous. Stanford University School of Engineering. 2018.
Lecture 18: Ethical Guidelines/Auditing PDF
Required: Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, and Parker Barnes. 2020. Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* '20). Association for Computing Machinery, New York, NY, USA, 33–44.
Optional: ICO - Guidance on the AI Auditing Framework (Draft Guidance for Consultation)