Ethics of Artificial Intelligence in Context (ETH1000)

☛ What? This year-long, half-credit graduate 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.

This course is specifically designed to accommodate students from across the university. Its aim is to facilitate interdisciplinary learning and exchange among students from a wide range of disciplinary backgrounds that is also reflected in the line-up of guest speakers. In the past, the following disciplines have been represented:

  • architecture
  • cognitive science
  • computer science
  • criminology
  • engineering
  • English
  • history of science
  • iSchool (information)
  • law
  • management
  • media studies
  • medicine
  • music
  • philosophy
  • political science
  • religion
  • sociology
  • urban planning

☛ When? Tuesdays, 3-6pm. Meets roughly bi-weekly during Fall and Spring. The current schedule is here

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

☛ Where? Ethics of AI Lab, Centre for Ethics, 200 Larkin or online.

☛ For Whom? Any UofT graduate student, regardless of faculty or discipline.

☛ How? Check with your home department: enroll either directly on ACORN or with SGS drop/add form.

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