Practical governance for enterprise AI: review boards, production-readiness criteria, bias detection, the EU AI Act and FDA AI/ML guidance as engineering constraints rather than paperwork.
Responsible AI and governance · 5 min read · with a concept loop
AI safety is not a benchmark score. The residual-risk chain ties every hazard to a tested control, an evaluation and an owner who can roll it back.
safety and red teamingrisk managementevaluation and benchmarksrelease gates
Responsible AI and governance · 5 min read · with a concept loop
Approval screens are not oversight. Real oversight passes four conditions: comprehension, detection, timely intervention and real authority to act.
human oversightagent governanceproduct and workflow designrisk management
Responsible AI and governance · 5 min read · with a concept loop
A written policy is not evidence. The assurance chain ties every AI requirement to an owner, a control and proof it still runs.
regulatory complianceaudit trailsrisk managementhuman oversight
Responsible AI and governance · 5 min read · with a concept loop
A passed benchmark is not proof of safety. The five-gate model checks research integrity, capability and deployment authority apart.
alignmentsafety and red teaminghuman oversightresearch due diligence
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