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Domain-Level Explainability – A Challenge for Creating Trust in Superhuman AI Strategies
[article]
2020
arXiv
pre-print
For strategic problems, intelligent systems based on Deep Reinforcement Learning (DRL) have demonstrated an impressive ability to learn advanced solutions that can go far beyond human capabilities, especially when dealing with complex scenarios. While this creates new opportunities for the development of intelligent assistance systems with groundbreaking functionalities, applying this technology to real-world problems carries significant risks and therefore requires trust in their transparency
arXiv:2011.06665v1
fatcat:qwqpfzjz7nhmjg2ngx2bkip57i