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pro vyhledávání: '"Bynum, Lucius E. J."'
Counterfactuals and counterfactual reasoning underpin numerous techniques for auditing and understanding artificial intelligence (AI) systems. The traditional paradigm for counterfactual reasoning in this literature is the interventional counterfactu
Externí odkaz:
http://arxiv.org/abs/2401.13935
Explaining artificial intelligence or machine learning models is increasingly important. To use such data-driven systems wisely we must understand how they interact with the world, including how they depend causally on data inputs. In this work we de
Externí odkaz:
http://arxiv.org/abs/2303.04209
Counterfactuals are often described as 'retrospective,' focusing on hypothetical alternatives to a realized past. This description relates to an often implicit assumption about the structure and stability of exogenous variables in the system being mo
Externí odkaz:
http://arxiv.org/abs/2212.03974
A significant body of research in the data sciences considers unfair discrimination against social categories such as race or gender that could occur or be amplified as a result of algorithmic decisions. Simultaneously, real-world disparities continu
Externí odkaz:
http://arxiv.org/abs/2107.00593