In my course notes that will soon be available, other material will be mentioned, in addition to the one below, accessible via hyperlink: during the first work session, we will identify which texts may be interesting to explore in more depth.
References and Bibliography
Arendt, H. (1963). “Eichmann in Jerusalem: A Report on the Banality of Evil”. Viking Press.
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. “Big Data & Society”, 3(1).
Calo, R. (2017). Artificial Intelligence Policy: A Primer and Roadmap. “UCLA Law Review”, 51(2), 399–435.
Cath, C. (2018). Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. “Philosophy & Technology”, 31(4), 689–710.
Dewey, J. (1927). “The Public and Its Problems”. Holt.
Duwell, M. (2014). The Right to Be Protected from Harmful Technology. “Ethics and Information Technology”, 16(4), 263–273.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Schafer, B. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. “Minds and Machines”, 28, 689–707.
Gorwa, R. (2019). The politics of platform governance. “Internet Policy Review”, 8(1).
Habermas, J. (1984). “The Theory of Communicative Action, Vol. 1: Reason and the Rationalization of Society”. Beacon Press.
Jonas, H. (1984). “The Imperative of Responsibility: In Search of an Ethics for the Technological Age”. University of Chicago Press.
Mittelstadt, B. D. (2016). Auditing for bias in artificial intelligence: A moral imperative and practical challenge. “Philosophy & Technology”, 29, 439–446.
Nissenbaum, H. (2001). How computer systems embody values. “Computer”, 34(3), 118–120.
Raji, I. D., Smart, A., White, R., Mitchell, M., Gebru, T., Hutchinson, B., ... & Barnes, P. (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”.
Rawls, J. (1971). “A Theory of Justice”. Harvard University Press.
Solove, D. J. (2008). “Understanding Privacy”. Harvard University Press.
Taylor, C. (1992). “Multiculturalism and “The Politics of Recognition”. Princeton University Press.
Veale, M., Van Kleek, M., & Binns, R. (2018). Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making. In “Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems”.
Warren, S. D., & Brandeis, L. D. (1890). The Right to Privacy. “Harvard Law Review”, 4(5), 193–220.
Zuboff, S. (2019). “The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power”. PublicAffairs.