ITS
Information Technology Services
Our weekly SRI Seminar Series welcomes Julie Shah, an associate professor in the Department of Aeronautics and Astronautics at MIT who leads the Interactive Robotics Group of the Computer Science and Artificial Intelligence Laboratory. In this talk, Shah explores what growing automation will mean for the future of work, and how we can build better jobs alongside intelligent machines.
Our weekly SRI Seminar Series welcomes C. Thi Nguyen, an associate professor of philosophy at the University of Utah whose work explores how social structures and technologies shape how we think. In this talk, Nguyen explores how requirements for transparency can enact pressures on expert domains with deeply negative results.
Our weekly SRI Seminar Series welcomes Moshe Vardi, the Karen Ostrum George Distinguished Service Professor of Computational Engineering at Rice University, where he leads the Technology, Culture, and Society Initiative. In this talk, Vardi will discuss what considerations and principles computer scientists can use to develop an ethical framework for their practices.
Our weekly SRI Seminar Series welcomes Barbara J. Grosz, Higgins Research Professor of Natural Sciences in the Paulson School of Engineering and Applied Sciences at Harvard University. Grosz’s contributions to AI research include fundamental advances in natural-language processing and theories of multi-agent collaboration, and innovative models to improve healthcare coordination and science education.
Our weekly SRI Seminar Series welcomes SRI Director and Chair Gillian Hadfield for a special in-person session. The inaugural Schwartz Reisman Chair in Technology and Society and a professor of law and strategic management at the University of Toronto, Hadfield’s research focuses on innovative legal and economic design, AI governance, legal markets, and contract law and theory.
Our weekly SRI Seminar Series welcomes SRI Director and Chair Gillian Hadfield for a special in-person session. The inaugural Schwartz Reisman Chair in Technology and Society and a professor of law and strategic management at the University of Toronto, Hadfield’s research focuses on innovative legal and economic design, AI governance, legal markets, and contract law and theory.
In this talk, Tambe will discuss how to apply AI and multiagent systems to address complex societal problems, with a focus on supporting public health and conservation initiatives.
In this seminar, Shilton explores the use of pervasive data—large datasets about the identity, behaviour, or characteristics of people—and the ethical questions that arise regarding the development of norms and practices of using this data for research, within and beyond clinical settings.
Our weekly SRI Seminar Series welcomes Jonathon Penney, a legal scholar and social scientist who is an associate professor at York University’s Osgoode Hall Law School, a research affiliate at Harvard’s Berkman Klein Center for Internet & Society and a long time research fellow at the Citizen Lab, at the University of Toronto’s Munk School of Global Affairs and Public Policy.
Our weekly SRI Seminar Series welcomes Owain Evans, a research associate at Oxford University’s Future of Humanity Institute. Evans’ research interests are in AI safety and the future of AI, with a current focus on truthful and honest AI.
In this talk, Talia B. Gillis considers how machine learning predictions affect decisions where a human retains ultimate authority, showing that the inclusion of a biased human decision-maker can revert common relationships between the structure of the algorithm and the qualities of resulting decisions.
In this talk, Perez explores to what extent language models can be evaluated through processes generated by the models themselves, presenting recent research that demonstrates successful results, as well as enabling the discovery of novel behaviours within the models.
In this talk, Goldfarb explores how artificial intelligence (AI) presents opportunities and threats in ways that are both extraordinary and unexpected. Identifying AI’s ability to decouple prediction from other aspects of decision-making as a key to its transformative impact, Goldfarb contends that it will require the invention of new ways of operating—many of which remain undiscovered—in order to truly unleash AI’s innovative potential.
