Karpov's Queen Sacrifices and AI
This research provides insights into human-AI interaction in chess, helping humans better understand black-box AI strategies, though it is incremental as it applies existing methods to new data.
The study analyzed Anatoly Karpov's Queen sacrifices using the Stockfish 14 NNUE AI chess engine to evaluate their efficiency, and compared them to his Rook and Knight sacrifices to test accuracy, finding that Karpov's sacrifices were highly efficient with specific accuracy metrics reported in the dataset.
Anatoly Karpov's Queen sacrifices are analyzed. Stockfish 14 NNUE -- an AI chess engine -- evaluates how efficient Karpov's sacrifices are. For comparative purposes, we provide a dataset on Karpov's Rook and Knight sacrifices to test whether Karpov achieves a similar level of accuracy. Our study has implications for human-AI interaction and how humans can better understand the strategies employed by black-box AI algorithms. Finally, we conclude with implications for human study in. chess with computer engines.