用国际象棋谜题评估AI创造力，专家认可其新颖与美感。
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
- 通过生成具有反直觉解法的原创棋题测试AI创意。
- 三位国际特级大师均选出喜爱谜题，认可其美学与挑战性。
- 适合关注AI艺术生成与创意评估的研究者。
生成式AI的快速发展引发了对其创造能力的广泛讨论。本文研究了在国际象棋谜题领域中生成创意且新颖输出的能力，提出一个旨在生成具有审美吸引力、新颖性及反直觉独特解法的棋题的AI系统。为评估其创造力，我们向三位世界著名国际象棋创作大师——国际大师阿马茨亚·阿夫尼、特级大师乔纳森·利维特和马修·萨德勒——呈递了一份精选的AI生成谜题集。他们被要求选出最喜爱的谜题，并解释其吸引力所在，包括创意程度、挑战难度或美学设计等维度。三位专家一致认为部分作品表现出高水平的创造性与艺术性。
原文摘要 · Abstract (English)
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.
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