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pro vyhledávání: '"Ide, Shun"'
We propose a general approach to quantitatively assessing the risk and vulnerability of artificial intelligence (AI) systems to biased decisions. The guiding principle of the proposed approach is that any AI algorithm must outperform a random guesser
Externí odkaz:
http://arxiv.org/abs/2407.20276
Autor:
Sugimoto, Shojiro, Fukai, Kaori, Mori, Kenji, Ide, Shun-ichi, Kaneko, Hiroyuki, Takaki, Hiroyuki, Kobayashi, Masaaki
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 1993 336(1):179-185
