Safeguarding AI in Critical Systems

Investigate how organizations design AI governance frameworks for deployment in high-stakes settings. Compare model safety testing regimes, incident-response workflows, external audits, and explainability mechanisms; assess the risks of rogue or misbehaving AI; propose governance playbooks for product teams, regulators, and users to maintain safety, accountability, and public trust.