5 papers
Beyond Satisfaction: Learning Associations Between Content, Reviews, and Well-Being
Aaron Marker, Joel Lehman, H. Andrew Schwartz
Digital platforms commonly optimize for satisfaction using signals such as ratings, likes, and sentiment, implicitly treating satisfaction as a proxy for user well-being. Psycholog…
The Conditions of Physical Embodiment Enable Generalization and Care
Leonardo Christov-Moore, Arthur Juliani, Alex Kiefer +7
As artificial agents enter open-ended physical environments -- eldercare, disaster response, and space missions -- they must persist under uncertainty while providing reliable care…
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe +30
Beneficial societal outcomes cannot be guaranteed by aligning individual AI systems with the intentions of their operators or users. Even an AI system that is perfectly aligned to…
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These s…
Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities
Miguel Zabaleta, Joel Lehman
Do horror writers have worse childhoods than other writers? Though biographical details are known about many writers, quantitatively exploring such a qualitative hypothesis require…