ITS
Information Technology Services
Our weekly SRI Seminar Series welcomes Iason Gabriel, 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.
Our weekly SRI Seminar Series welcomes Ann Copestake, 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.
Our weekly SRI Seminar Series welcomes Luciano Floridi, founding director of the Digital Ethics Center and professor in the Cognitive Science Program at Yale University.
Our weekly SRI Seminar Series welcomes Terry Flew, professor of digital communication and culture at the University of Sydney and the author of 16 books on the governance of digital media platforms.
Our weekly SRI Seminar Series welcomes Adam Tauman Kalai, a technical staff member and research scientist at OpenAI working on AI safety and ethics.
Our weekly SRI Seminar Series welcomes Bree McEwan, an associate professor at the University of Toronto Mississauga’s Institute for Communication, Culture, Information and Technology, an associate director at the Data Sciences Institute, and a faculty affiliate at the Schwartz Reisman Institute.
Our weekly SRI Seminar Series welcomes Roger Grosse. His research focuses on better understanding neural net training dynamics, with his current work exploring how understandings of deep learning can be applied to generate safe and aligned AI systems.
Our weekly SRI Seminar Series welcomes Laura Rosella. Her research explores how population-based risk assessment tools like AI technologies can better support public health planning and public health policy.
Our weekly SRI Seminar Series welcomes Rediet Abebe, a Harvard junior fellow and Andrew Carnegie fellow whose research examines the interaction of algorithms and inequality.
Our weekly SRI Seminar Series welcomes Aziz Huq, a scholar of US and comparative constitutional law at the University of Chicago whose recent work concerns democratic backsliding and the regulation of AI.
Our weekly SRI Seminar Series welcomes Henry Shevlin, a philosopher and AI ethicist whose research explores the philosophy of mind and cognitive science.
In this talk, Daniel E. Ho will explore his recent research on data governance and public policy for digital technologies, including emerging regulatory frameworks for AI systems.
Our weekly SRI Seminar Series welcomes Christopher Summerfield, a professor of cognitive neuroscience at the University of Oxford’s Department of Experimental Psychology, whose research focuses on human learning and decision-making.
In this talk, Virginia Dignum will discuss the need for a responsible approach to AI that emphasizes trust, cooperation, and the common good.
In this talk, Rahul G. Krishnan will highlight recent advances in bridging the gap between the two fields and motivate the rationale for studying, building, and scaling neural networks that reason causally.
While the lawsuits are still in early stages, fair use/fair dealing defenses are likely to be the main focus of judicial analyses of their merits. This talk will explain the issues that judges have decided so far and what issues have yet to be addressed.
In this talk, Catherine Stinson will examine the rise of benchmark datasets in AI, such as ImageNet, and their role in advancing deep learning, critiquing the overly enthusiastic embrace of benchmarks as a harmful practice that can distort research incentives.
Our weekly SRI Seminar Series welcomes Yejin Choi, incoming professor in the Department of Computer Science at Stanford University and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence.
In this talk, Coleman will explore the significance of trust in the interactions between humans and machine learning systems, including how trust influences user adoption, ethical considerations, and the societal impact of emerging technologies.
In this talk, Clune will explore how foundation models are opening new frontiers to create open-ended algorithms capable of continuous innovation and lifelong learning.
In this talk, Skorburg introduces a valuationist framework to analyze the attention economy, arguing that decision-making and attention allocation are shaped by representations of value rather than addiction or loss of control.
In this talk, Sandra Wachter will discuss the long-term societal risks posed by large language models (LLMs). Introducing the concept of “careless speech,” a new type of harm created by LLMs that threatens to degrade knowledge and trust in democratic societies over time.
In this talk, Jeff Clune will explore how foundation models are opening new frontiers to create open-ended algorithms capable of continuous innovation and lifelong learning.
In this talk, Bastani will share results from the first large-scale field experiment deploying generative AI tutors in high school math classrooms.
Our weekly SRI Seminar Series welcomes Anastasia Kuzminykh, assistant professor at the University of Toronto’s Faculty of Information and a faculty affiliate at the Schwartz Reisman Institute.
In this talk, Calo will explore how law can navigate the unique challenges posed by technology.
Our weekly SRI Seminar Series welcomes David Duvenaud, associate professor in the Department of Computer Science at the University of Toronto and a Schwartz Reisman Chair in Technology and Society.
In this talk, Peter Salib will argue that current legal frameworks are ill-equipped to address the risks posed by the race toward artificial general intelligence (AGI).
This lecture is offered as a contribution to the small but expanding movement to resist the proposition that artificial intelligence (AI) is the driving technology of our age.
In this talk, Katyal will examine the growing tension between generative AI and the legal regimes that govern art and creativity.
In this talk, Semra Sevi will present findings from a new working paper evaluating a chatbot-driven Voting Aid Application (VAA) designed to deliver balanced, personalized political information.
