Solving the Data Paradox in AI Governance
AI systems require vast datasets to perform effectively, yet privacy laws demand minimization, purpose limitation, and short retention. This article explores how organizations can reconcile these conflicting imperatives—balancing legal compliance with technical performance—through strategic governance, privacy-preserving techniques, and proactive design principles that embed ethical data use into AI development.