Four distinguished lectures on the Status and Future of Al organised by CITRIS Research Exchange and BAIR will be livestreamed and held in person at CHAI.

Brian Christian was interviewed by physician and staff writer Dhruv Khullar of the New Yorker for an article about medical applications of language models.

Sam Manning, Pamela Mishkin, CHAI’s Gillian Hadfield, Tyna Eloundou, and Emily Eisner published a paper titled A Research Agenda for Assessing the Economic Impacts of Code Generation Models for OpenAI.

CHAI’s Jonathan Stray joined with Brandie Nonnecke from Berkeley’s CITRIS Policy lab, the Center for Democracy and Technology, and other scholars to file a brief for the Supreme Court in an upcoming case called “Gonzalez vs. Google” that asks whether “targeted recommendations” should be protected under the same law that protects the “publishing” of third party content.

As automated decision making and decision assistance systems become common in everyday life, research on the prevention or mitigation of potential harms that arise from decisions made by these systems has proliferated.

CHAI intern Peter Barnett, PhD student mentor Rachel Freedman, Justin Svegliato and Stuart Russell’s new paper, “Active Reward Learning from Multiple Teachers”, was accepted for an oral presentation at the AAAI 2023 Workshop on AI Safety.

Brian Christian was interviewed by New York Times reporter Brian X. Chen about ChatGPT.

One prevalent alignment strategy is to 1) capture “what we want” in a loss function to a very high degree, 2) use that loss function to train the AI, and 3) get the AI to exclusively care about optimizing that objective.

Is the speed with which people act in a strategic situation related to their social preferences?

The paper introduces a novel approach to building competence-aware systems (CAS) that reason about their own competence in the form of multiple levels of autonomy.