Yesterday, I attended a webinar by the Vector Institute, a Canadian not-for-profit collaboration between leading research universities, the government, and private sector dedicated to advancing AI, machine learning, and deep learning research. The topic was “Using AI to guide re-opening of workplaces in the wake of COVID-19.”
The webinar consisted of a presentation by Avi Goldfarb, professor at the Rotman School of Management at the University of Toronto (U of T), Vector Faculty Affiliate, and chief data scientist at the tech incubator Creative Destruction Lab, and a follow-up discussion with:
- Arthur Berrill, head of Location Intelligence at RBC, a major Canadian bank
- Levi Cooperman, cofounder of Fresh Books
- Gillian Hadfield, professor of law and of strategic management at the U of T, and Schwartz Reisman Chair in Technology and Society
The session was moderated by Garth Gibson, president and CEO of Vector Institute.
Professor Goldfarb’s presentation was based on his recent article in MIT Technology review (jointly with Ajay Agrawal, Joshua Gans, and Mara Lederman). It framed succinctly the problem that many CEOs are facing now or will be facing shortly as nations and economies are exiting the lockdowns: Should we reopen and, if so, how?
#artificial-intelligence #ai #covid19 #ai-ethics #machine-learning
