This paper argues that enterprises should “humanize” AI governance so innovation can scale without creating ethical, legal, and reputational harm, especially as new regulations (such as the US AI Bill of Rights and the EU AI Act) raise expectations for fairness, transparency, accountability, and privacy. It emphasizes airtight documentation to support audits and oversight by clearly recording algorithms, data sources, and decision logic, and warns that AI’s black-box behavior and hallucinations increase enterprise, societal, and national risks, including biased outcomes, privacy loss, discrimination, reduced human oversight, security threats, and financial penalties. It recommends a top-down governance approach supported by ethics committees and stakeholder focus groups, and frames Brillio

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