56 citations · 266 across the 35 of their papers we have counts for
4 papers · 1 filter
The History and Risks of Reinforcement Learning and Human Feedback
Nathan Lambert, Thomas Krendl Gilbert, Tom Zick
Reinforcement learning from human feedback (RLHF) has emerged as a powerful technique to make large language models (LLMs) easier to use and more effective. A core piece of the RLH…
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings
Sarah Shoker, Andrew Reddie, Sarah Barrington +20
Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapon…
Axes for Sociotechnical Inquiry in AI Research
Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert +1
The development of artificial intelligence (AI) technologies has far exceeded the investigation of their relationship with society. Sociotechnical inquiry is needed to mitigate the…
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert +2
Despite interest in communicating ethical problems and social contexts within the undergraduate curriculum to advance Public Interest Technology (PIT) goals, interventions at the g…