Publications

Alan Chan, Maxime Riché, Jesse Clifton (2023). Towards the Scalable Evaluation of Cooperativeness in Language Models. Under review.

Alan Chan, Herbie Bradley, Nitarshan Rajkumar (2023). Reclaiming the Digital Commons: A Public Data Trust for Training Data. Under review.

Micah Carroll, Alan Chan, Henry Ashton, David Krueger (2023). Characterizing Manipulation from AI Systems. Under review.

Alan Chan, (lots of others) (2023). Harms from Increasingly Agentic Algorithmic Systems. Under review.

Alan Chan (2021). Scoring Rules for Performative Binary Prediction. In NeurIPS 2021 Workshop on Strategic ML.

Alan Chan (2021). Loss of Control: "Normal Accidents" and AI Systems. In ICLR 2021 RAI Workshop.

Alan Chan, Chinasa Okolo, Zachary Terner, Angelina Wang (2021). The Limits of Global Inclusion in AI Development. In AAAI 2021 RDAI Workshop, selected for spotlight.

Alan Chan, Kris de Asis, Richard S. Sutton (2020). Inverse Policy Evaluation for Value-based Sequential Decision-making. Preprint.

Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White (2020). Training Recurrent Neural Networks Online by Learning Explicit State Variables. In ICLR 2020.

Kris de Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves (2020). Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. In AAAI 2020.

Alan Chan, Jack A. Tuszynski (2016). Automatic Prediction of Tumour Malignancy in Breast Cancer with Fractal Dimension. In Royal Society Open Science.