Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
At last count, thirty lawsuits are challenging the legality of using in-copyright works to train generative AI models. While the lawsuits are still in early stages, fair use defenses are likely to be the main focus of judicial analyses of their merits. This talk will explain what judges have decided so far, that is, what issues are now out of those cases and what issues remain. Although generative AI developers point to some precedents that support their fair use defenses, this talk will explain why judges may find them not as helpful as the developers hope. At this point, some cases seem stronger than others. Not only are the plaintiffs seeking very large damage awards, but also some want courts to order models trained on the plaintiffs' data to be destroyed, and courts have power to issue such orders. The broader impacts of these lawsuits for academic research and development are at present invisible to the courts.
