124 citations · 133 across the 5 of their papers we have counts for
5 papers
Towards the Scalable Evaluation of Cooperativeness in Language Models
Alan Chan, Maxime Riché, Jesse Clifton
It is likely that AI systems driven by pre-trained language models (PLMs) will increasingly be used to assist humans in high-stakes interactions with other agents, such as negotiat…
Characterizing Manipulation from AI Systems
Micah Carroll, Alan Chan, Henry Ashton +1
Manipulation is a common concern in many domains, such as social media, advertising, and chatbots. As AI systems mediate more of our interactions with the world, it is important to…
Reclaiming the Digital Commons: A Public Data Trust for Training Data
Alan Chan, Herbie Bradley, Nitarshan Rajkumar
Democratization of AI means not only that people can freely use AI, but also that people can collectively decide how AI is to be used. In particular, collective decision-making pow…
Harms from Increasingly Agentic Algorithmic Systems
Alan Chan, Rebecca Salganik, Alva Markelius +19
Research in Fairness, Accountability, Transparency, and Ethics (FATE) has established many sources and forms of algorithmic harm, in domains as diverse as health care, finance, pol…
Scoring Rules for Performative Binary Prediction
Alan Chan
We construct a model of expert prediction where predictions can influence the state of the world. Under this model, we show through theoretical and numerical results that proper sc…