Coping with AI errors with provable guarantees

DOI10.1016/J.INS.2024.120856MaRDI QIDQ6571151

Tatiana A. Tyukina, Zedong Zheng, A. N. Gorban, Oliver J. Sutton, Daniël P. van Helden, I. Tyukin, Penelope Allison, Evgeny M. Mirkes, Qinghua Zhou

Publication date: 11 July 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

artificial intelligence (AI)AI error correctorscomputationally trustworthy AI systemserrors of AI

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
• Correction of AI systems by linear discriminants: probabilistic foundations
• One-trial correction of legacy AI systems and stochastic separation theorems
• Stochastic separation theorems
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• Blessing of dimensionality: mathematical foundations of the statistical physics of data
• On optimum recognition error and reject tradeoff
• General stochastic separation theorems with optimal bounds
• Title not available (Why is that?)
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