Topics in Value Theory: Ethics of Artificial Intelligence in Context (ETH350H1Y)

☛ What? This year-long, half-credit course exposes students to advanced methods employed in the analysis of ethical issues related to the production, dissemination, and application of AI in a variety of contexts. A diverse team of speakers from a range of academic disciplines including, for instance, computer science; criminology; engineering; law; literary studies; media studies; philosophy; or political science, will model various methodological approaches and modes of analysis. Students will write three short responses each semester to specific presentations, and participate in group discussions of the scheduled guest lectures.

☛ When? Tuesdays, 3-6pm. Meets roughly bi-weekly during Fall and Spring. 

☛ Who? The speaker list is a work in progress. Regularly check here for updates and sign up for our newsletter. Confirmed speakers so far include: Alex Hanna (Google); Andre Brock (Georgia Tech); Rodrigo Ochigame (MIT); Karina Vold (UofT); Catherine D’Ignazio & Lauren Klein (MIT & Emory); Richard Zuroff (element.AI); Robert Soden (UofT); Ishtiaque Ahmed (UofT); Devin Guillory (Berkeley); Elettra Bietti (Harvard); Ben Green (Harvard)

☛ Where? Centre for Ethics, 200 Larkin/online.

☛ For Whom? Advanced UofT undergraduate students, by permission of instructor.

☛ How? Please contact Ellen Ough (ethics@utoronto.ca) to apply.

☛ More Information? Ethics of AI Lab Oxford Handbook of Ethics of AI.