June 6, 2024, 4:44 a.m. | Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli

cs.LG updates on arXiv.org arxiv.org

arXiv:2309.01778v3 Announce Type: replace
Abstract: Everyday life is increasingly influenced by artificial intelligence, and there is no question that machine learning algorithms must be designed to be reliable and trustworthy for everyone. Specifically, computer scientists consider an artificial intelligence system safe and trustworthy if it fulfills five pillars: explainability, robustness, transparency, fairness, and privacy. In addition to these five, we propose a sixth fundamental aspect: conformity, that is, the probabilistic assurance that the system will behave as the machine learner …

abstract algorithms artificial artificial intelligence artificial intelligence system arxiv computer cs.lg design five function intelligence life machine machine learning machine learning algorithms novel question replace safe scientists stat.ml trustworthy type

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