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Fair Machine Learning

Fair Machine Learning (Fair ML) is a subfield of AI focused on ensuring algorithms do not perpetuate or amplify societal biases against protected groups. It involves techniques to measure and mitigate unfairness in automated decisions, crucial for compliance with regulations like GDPR and frameworks like the NIST AI RMF.

Curated by Winners Consulting Services Co., Ltd.

Putting this into practice

Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.

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