AINeutralarXiv – CS AI · 10h ago6/10
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The Pok\'emon Theorem and other Fairness Impossibility Results
Researchers demonstrate that multiple fairness impossibility results in machine learning share a common geometric structure rooted in RKHS theory, proving that fairness criteria become mathematically incompatible when base rates differ across groups. The work introduces the 'Pokémon theorem' showing any finite collection of linear fairness constraints leaves residual violations, with implications for fair AI systems in high-stakes applications.
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