The Schwartz Reisman Institute for Technology and Society (SRI) hosted a roundtable discussion on February 11, 2025, as part of the official side events at the AI Action Summit in Paris centered on insights from an upcoming SRI paper, Trust in Human-Machine Learning Interactions: A Multifaceted Approach, led by SRI Research Lead Beth Coleman.

As the SRI community navigates the evolving landscape of artificial intelligence (AI), a critical question remains at the forefront: How can AI be not only effective but also safe and aligned with human values?

The Schwartz Reisman Institute’s annual academic conference Absolutely Interdisciplinary returns for 2025 to explore interdisciplinary approaches to AI governance, risk and safety.

The SRI Seminar Series returns for 2025 with leading experts exploring AI’s impacts from a wide range of disciplines, including computer science, psychology, law, philosophy, and communication.

What kinds of solutions should we consider for gaining access to data, and which purposes can justify this access? These and related questions were the topic of an event co-hosted by SRI and the Berkman Klein Center’s Institute for Rebooting Social Media at Harvard University coordinated by Lisa Austin.

A recent hackathon and symposium co-sponsored by SRI and U of T's Data Sciences Institute explored new ways of using large language models responsibly, with students and faculty receiving training on how to design efficient, interdisciplinary solutions to promote responsible AI usage.

What does safe artificial intelligence look like? Could AI go rogue and pose an existential threat to humanity? These were among the pressing questions tackled by SRI experts during a recent panel discussion on AI safety.

The SRI Seminar Series returns for fall 2024 with leading experts across various fields, including computer science, communications, law, healthcare, and philosophy. Seminars will explore new questions at the intersection of technology and society through critical issues such as trust, inequality, public policy, and the ethical implications of AI systems.

The field of AI safety emphasizes that systems be aligned with human values, often stating AI should “do no harm.” But lethal autonomous systems used for firearms and drones are already harming people. How can we address the reality of purposely harmful AI systems? SRI Graduate Fellow Michael Zhang writes about a panel of experts exploring this topic.

How can we help people recognize AI-generated images? Can we prevent copyrighted materials from being used in training data? What’s going on in the new field of forensic analysis of ML systems? These and related topics were at the centre of the 2024 Secure and Trustworthy Machine Learning (SaTML) conference in Toronto. Read the highlights.

At SRI’s annual academic conference, leading researchers from diverse fields came together to tackle the complexities of AI alignment and how to better understand the social impacts of data-driven technologies. 28 distinguished speakers presented new approaches and ideas to better understand how these technologies are impacting our world.

Acclaimed science fiction author Ted Chiang reflects on these and related questions: What is the relationship between technology and human cognition? How have writing and language been deployed as technologies throughout human history? And what does the future of computers hold—will it give rise to a new kind of cognitive technology?