research
∙
03/16/2023
Towards the Scalable Evaluation of Cooperativeness in Language Models
It is likely that AI systems driven by pre-trained language models (PLMs...
share
research
∙
03/16/2023
Characterizing Manipulation from AI Systems
Manipulation is a common concern in many domains, such as social media, ...
research
∙
03/16/2023
Reclaiming the Digital Commons: A Public Data Trust for Training Data
Democratization of AI means not only that people can freely use AI, but ...
research
∙
02/20/2023
Harms from Increasingly Agentic Algorithmic Systems
Research in Fairness, Accountability, Transparency, and Ethics (FATE) ha...
research
∙
07/05/2022
Scoring Rules for Performative Binary Prediction
We construct a model of expert prediction where predictions can influenc...
research
∙
07/17/2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Approximate Policy Iteration (API) algorithms alternate between (approxi...
research
∙
05/10/2021
Parameter-free Gradient Temporal Difference Learning
Reinforcement learning lies at the intersection of several challenges. M...
research
∙
02/02/2021
The Limits of Global Inclusion in AI Development
Those best-positioned to profit from the proliferation of artificial int...
research
∙
08/26/2020
Inverse Policy Evaluation for Value-based Sequential Decision-making
Value-based methods for reinforcement learning lack generally applicable...
research
∙
11/19/2019
Efficient decorrelation of features using Gramian in Reinforcement Learning
Learning good representations is a long standing problem in reinforcemen...
research
∙
09/09/2019
