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Fairness Assessment and Bias Mitigation with Fairlearn and the Responsible AI Toolbox
“Research on bias, fairness, transparency, and the myriad dimensions of safety now forms a substantial portion of all of the work presented at major AI and machine-learning conferences.”
– Aileen Nielsen, Practical Fairness: Achieving Fair and Secure Data Models
“If and when computer programs attain superhuman intelligence and unprecedented power, should we begin valuing these programs more than we value humans? ... Do humans have some magical spark, in addition to higher intelligence and greater power, which distinguishes them from pigs, chickens, chimpanzees, and computer programs alike? If yes, where did that spark come from, and why are we certain that ...
