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20192025
most citedAligning Superhuman AI with Human Behavior: Chess as a Model System

80 citations · 132 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.AI2024★ 3 cited

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…

cs.AI2024★ 1 cited

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…

cs.AI2022★ 7 cited

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.…

cs.AI2022★ 21 cited

Mimetic Models: Ethical Implications of AI that Acts Like You

Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen +2

An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text g…

cs.AI2020★ 19 cited

Learning Models of Individual Behavior in Chess

Reid McIlroy-Young, Russell Wang, Siddhartha Sen +2

AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage w…

cs.AI2020★ 80 cited

Aligning Superhuman AI with Human Behavior: Chess as a Model System

Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1

As artificial intelligence becomes increasingly intelligent---in some cases, achieving superhuman performance---there is growing potential for humans to learn from and collaborate…