Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
Abstract
The rapid advancement of Generative AI has raised significant questions regarding its ability to produce creative and novel outputs. Our recent work investigates this question within the domain of chess puzzles and presents an AI system designed to generate puzzles characterized by aesthetic appeal, novelty, counter-intuitive and unique solutions. We briefly discuss our method below and refer the reader to the technical paper for more details. To assess our system's creativity, we presented a curated booklet of AI-generated puzzles to three world-renowned experts: International Master for chess compositions Amatzia Avni, Grandmaster Jonathan Levitt, and Grandmaster Matthew Sadler. All three are noted authors on chess aesthetics and the evolving role of computers in the game. They were asked to select their favorites and explain what made them appealing, considering qualities such as their creativity, level of challenge, or aesthetic design.
Cite
@article{arxiv.2510.23772,
title = {Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions},
author = {Vivek Veeriah and Federico Barbero and Marcus Chiam and Xidong Feng and Michael Dennis and Ryan Pachauri and Thomas Tumiel and Johan Obando-Ceron and Jiaxin Shi and Shaobo Hou and Satinder Singh and Nenad Tomašev and Tom Zahavy},
journal= {arXiv preprint arXiv:2510.23772},
year = {2025}
}
Comments
Accepted at the Creative AI Track, NeurIPS 2025