ITS
Information Technology Services
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.
Our weekly SRI Seminar Series welcomes Saffron Huang whose work bridges artificial intelligence, democratic governance, and the societal structures that shape how technologies evolve.
Our weekly SRI Seminar Series welcomes Saadia Gabriel, an assistant professor of computer science at the UCLA Samueli School of Engineering and an affiliated faculty member of the Bunche Center for African-American Studies.
Our weekly SRI Seminar Series welcomes Brad Knox, research associate professor of computer science at the University of Texas at Austin and a leading thinker in human–AI interaction.
In this talk, Bruce Schneier will introduce the concept of integrous systems design, arguing that integrity has emerged as the central challenge of modern cybersecurity.
In this talk, Dr. Mamatha Bhat will examine how multi-agentic AI can enhance fairness and accountability in liver transplant selection.
Our weekly SRI Seminar Series welcomes Kate Larson, professor and University Research Chair in the Cheriton School of Computer Science at the University of Waterloo and a research scientist at Google DeepMind.
In this talk, Joel Z. Leibo will present a pragmatic view of AI personhood, arguing that personhood should be understood not as a fixed metaphysical property but as a flexible bundle of rights and responsibilities conferred to solve concrete governance problems.
Zhijing Jin’s research engages broad questions around large language models, causal reasoning, and AI safety, alongside collaborative and institutional approaches to governing complex AI systems.
In this talk, Kyle Mahowald will explore how experiments with filtered pretraining and mechanistic interpretability can shed light on the structure of human language.
