7 citations · 15 across the 6 of their papers we have counts for
6 papers
Improving Human Performance with Value-Aware Interventions: A Case Study in Chess
Saumik Narayanan, Raja Panjwani, Siddhartha Sen +1
AI systems are increasingly used to assist humans in sequential decision-making tasks, yet determining when and how an AI assistant should intervene remains a fundamental challenge…
Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
Zhenwei Tang, Difan Jiao, Eric Xue +4
As humans seek to collaborate with, learn from, and better understand artificial intelligence systems, developing AIs that can accurately emulate individual decision-making becomes…
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang, Difan Jiao, Reid McIlroy-Young +3
There are an increasing number of domains in which artificial intelligence (AI) systems both surpass human ability and accurately model human behavior. This introduces the possibil…
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
Karim Hamade, Reid McIlroy-Young, Siddhartha Sen +2
Powerful artificial intelligence systems are often used in settings where they must interact with agents that are computationally much weaker, for example when they work alongside…
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi +6
Variance in predictions across different trained models is a significant, under-explored source of error in fair binary classification. In practice, the variance on some data examp…
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen +2
The advent of machine learning models that surpass human decision-making ability in complex domains has initiated a movement towards building AI systems that interact with humans.…