Join Catherine Stinson, Queen’s National Scholar in the Philosophical Implications of AI, for a special in-person seminar on the role of benchmark datasets in AI research, co-presented by the Institute for the History and Philosophy of Science and Technology.

Understanding how trust is built between groups of people, institutions and technologies is essential for thinking about how AI systems can be built to reliably address human needs while mitigating risks. This roundtable convened by the Schwartz Reisman Institute as part of the 2025 AI Action Summit in Paris will explore the contextual and institutional dimensions of trust in AI systems.

Join Pamela Samuelson, distinguished professor of law at UC Berkeley and co-director of the Berkeley Center for Law & Technology, for a talk on the copyright challenges and legal implications posed by generative AI technologies.

How is machine learning transforming healthcare? Join Rahul G. Krishnan, University of Toronto professor and Canada Research Chair in Computational Medicine, to discover how AI innovations are revolutionizing diagnostics, treatment, and personalized care.

How can we build AI systems that reflect human values and promote social good? Join Virginia Dignum, professor of computer science at Umeå University, for a discussion on the ethical design and governance of artificial intelligence technologies.

Can AI systems act as an mediator to help groups with differing views find consensus? Join Christopher Summerfield, professor of cognitive neuroscience at the University of Oxford, to explore how AI systems shed light on human decision-making.

What emerging risk frameworks and policy considerations for the use of advanced technologies like AI in high-stakes contexts are on the horizon? Join Stanford’s Daniel E. Ho to learn about assessing the reliability of AI in legal research.

What ethical risks might occur when AI systems are used for human social needs like romance, companionship, or entertainment? Join the University of Cambridge’s Henry Shevlin for an exploration of the potential benefits and harms of social AI.

How is the regulation of digital technologies influenced by geopolitical competition? Join the University of Chicago’s Aziz Huq for a talk on the future of the governance of technology.

How can algorithms contribute to or reduce inequality? Join Rediet Abebe to explore how mathematics and computation can support more equitable outcomes in the public sphere.

How can AI systems better support public health planning and policy? Join SRI Faculty Affiliate Laura Rosella for insights on how AI and data are transforming public health.

Can LLMs or agents built on top of them spontaneously “go rogue"? Join SRI Chair Roger Grosse for a special in-person edition of the SRI Seminar Series.

How are online networks, VR, and generative AI transforming the human experience? Join SRI Faculty Affiliate Bree McEwan to explore how technology is impacting the ways we communicate today.

How can we build technical systems that are secure and trustworthy? Join renowned computer scientist Cynthia Dwork of Harvard University for a talk on her latest research.

Why do large language models “hallucinate” facts and what can be done to mitigate this phenomenon? Join OpenAI’s Adam Tauman Kalai to learn more about new approaches towards AI alignment and safety.

How can we better understand the role of public trust in digital media? Join the University of Sydney’s Terry Flew to explore new approaches towards questions of mediated trust.

Join a panel of experts to explore pressing questions of safety in this unprecedented moment of proliferating and advancing AI technologies. The 2024 September Soiree in Technophilosophy promises to be a unique opportunity to expand your horizons and be part of a stimulating event that aims to provoke deep and meaningful engagement with our future with AI.

Join E3I faculty leads Sheila McIlraith, Diane Horton, David Liu, and Steven Coyne on May 28, 2024, for a special free online event exploring the creation and deployment of the University of Toronto Embedded Ethics Education Initiative.

The Ian P. Sharp Lectureship was established at the Faculty of Information Studies at the University of Toronto in 1989. It is intended to bring internationally renowned individuals to the campus to explore the transformative effects of information practice. The lectures, which are open to the profession and members of the public, are delivered every three to four years by a distinguished figure in information science and related fields.

The Schwartz Reisman Institute for Technology and Society’s 2023–24 cohort of graduate fellows present “Interdisciplinary Dialogues on AI,” a special one-day workshop that will explore innovative solutions for tough problems at the intersection of technology and society.

What kinds of claims can we make to access platform data? How can we ensure that the digital world can be independently knowable and interrogated and that this ability is equitably distributed? How do these questions fit within a broader set of concerns regarding the social and democratic value of data, data colonialism, data justice, and epistemic justice? This hybrid workshop brings together a diverse and interdisciplinary group of scholars and practitioners to discuss these and related questions.

Luciano Floridi is the founding director of the Digital Ethics Center at Yale University, where he is also a professor in the Cognitive Science Program. World-renowned as one of the most authoritative voices of contemporary philosophy, Floridi is a founding figure within the philosophy of information and one of the major interpreters of the digital revolution. He is deeply engaged with policy initiatives on the socio-ethical value and implications of digital technologies and collaborates closely on these topics with many governments and companies worldwide.

The internet essentially began 30 years ago, with the 1994 release of Netscape Navigator. Cryptography and security then transitioned from the fringes of university research and a niche industry sector to major subject areas and technologies underpinning essential components of modern society.

SRI Research Lead David Lie welcomes Paul Van Oorschot, professor of computer science at Carleton University, for a talk taking us through selected highlights along this journey.

Ann Copestake is a professor of computational linguistics at the Department of Computer Science and Technology at the University of Cambridge. Her research involves developing computer models of human languages, including explores the development of semantic models compatible with broad-coverage computational processing, and establishing the performance of deep learning systems according to linguistic criteria.

Iason Gabriel is a staff research scientist at Google DeepMind whose work focuses on the ethics of artificial intelligence, including questions about AI value alignment, distributive justice, language ethics and human rights. Gabriel has contributed to several projects that promote responsible innovation in AI, including the creation of the ethics review process at NeurIPS.

To better understand how new information technologies might shape the way we think, let's think about how the oldest ones have made themselves part of us. Join acclaimed author Ted Chiang and SRI Faculty Fellow Avery Slater (Department of English, University of Toronto) for a talk on the impacts of technologies on the human experience.

Marlène Koffi is an assistant professor in economics at the University of Toronto, and a faculty affiliate at the National Bureau of Economics Research and the Schwartz Reisman Institute for Technology and Society. Koffi’s research interests are in the economics of innovation and science, and she is also interested in applying deep learning and artificial intelligence techniques for economics studies and public policies.

Rohan Alexander is an assistant professor at the University of Toronto, jointly appointed in the Faculty of Information and the Department of Statistical Sciences, assistant director of CANSSI Ontario, a faculty affiliate at the Schwartz Reisman Institute, and a co-lead of the Data Sciences Institute’s Thematic Program in Reproducibility. Alexander’s research investigates how to develop workflows that improve the trustworthiness of data science.