ai

Empirical Evidence

Evidence acquired through verifiable methods such as observation, experimentation, or measurement. In AI governance, it refers to the data used to objectively assess an algorithm's performance, fairness, and security, crucial for building trustworthy AI and meeting regulatory standards 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.

Need help with compliance implementation?

Request Free Assessment