Comprehensive framework for establishing AI governance in corporations, addressing risks including bias, hallucinations, data leakage, and regulatory compliance. Provides strategic guidance for legal counsel and risk officers to implement responsible AI adoption.
Deep examination of ethical risks in AI-driven academic auditing, addressing student data privacy (GDPR/PDPA compliance), algorithmic bias prevention, and transparency in automated decision-making systems.
