What do we need to do to ensure that artificial intelligence is built for public benefit? A recent course developed by the Schwartz Reisman Institute explains what AI is, where it’s headed, and what the public needs to know about it.

In We, The Data, Wendy H. Wong argues that we need to reboot human rights to match the pressures of our data-intensive world. Exploring surveillance, facial recognition technologies, data rights, and more, Wong makes a compelling case for why the public needs to engage Big Tech as data stakeholders.

Luke Stark, an assistant professor at Western University, has been appointed as the inaugural Schwartz Reisman Scholar-in-Residence. Stark’s work interrogates the historical, social, and ethical impacts of computing and artificial intelligence technologies, particularly those mediating social and emotional expression.

Want to learn more about Canada’s Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems? SRI Policy Researchers David Baldridge and Jamie Sandhu comment on the Code’s characteristics and shortcomings after its recent release following a summer of significant developments concerning generative AI.

A new AI-powered solutions network for predicting and preventing diabetes developed by SRI researchers Laura Rosella, Jennifer Gibson, and Shion Guha has received $900K in funding from CIFAR’s AI for Health Solution Networks grant program.

There are economic and political incentives for AI companies to create their own set of rules. Alyssa Wong explores the benefits and drawbacks of self-regulation in the tech industry, and highlights the ultimate need for democratic oversight to ensure accountability, transparency, and consideration of public interests.

At Absolutely Interdisciplinary 2023, Richard Sutton discussed the future of AI systems and whether they should always be aligned with human values. In a wide-ranging discussion with Blaise Agüera y Arcas and Gillian Hadfield, Sutton argued that it may be desirable—and even necessary—for us to one day grant autonomy to advanced AI agents.

Like an ouroboros—or snake eating its own tail—future AI models trained on the internet, where AI-generated content is expected to become ubiquitous, could end up devouring the problematic work of their predecessors.

The SRI Seminar Series provides a unique opportunity to explore cutting-edge research at the intersection of technology and society, and engage in discussions with the Schwartz Reisman Institute’s interdisciplinary community. The 2023–24 season kicks off September 20th with a talk by Aaron Hertzmann of Adobe Research.

The Schwartz Reisman Institute is pleased to announce the appointment of three distinguished University of Toronto faculty to its research leadership team. Beth Coleman, Kelly Lyons, and Anna Su will bring their expertise to help advance the Institute's mission of ensuring powerful technologies like AI are developed responsibly.

SRI Faculty Fellow William Cunningham and Joel Leibo of Google DeepMind presented their work on testing social cognitive theory using reinforcement learning at the Schwartz Reisman Institute’s conference Absolutely Interdisciplinary.

In collaboration with Deloitte, the Schwartz Reisman Institute for Technology and Society presented a distinguished speaker series highlighting contributions from six innovative female researchers working at the forefront of artificial intelligence across a wide range of specializations.