ITS
Information Technology Services
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.
