Which process is required before production use to address privacy in AI?

• A. Privacy Impact Assessment
• B. Data Minimization Review
• C. Security Certification
• D. Algorithmic Audit

Answer: (A)

Evaluating privacy risks before deploying AI is essential, and a Privacy Impact Assessment (PIA) is the formal process for doing that. A PIA examines how data is collected, used, stored, shared, and for what purposes, and it considers the potential impacts on individuals’ privacy. It guides decisions about data minimization, the lawful basis for processing, consent, retention periods, access controls, and transparency measures, with the goal of embedding privacy protections into the system before production use. By identifying risks and detailing mitigations upfront, a PIA supports accountability and helps ensure compliance with privacy requirements. Other options focus on narrower aspects—data minimization reviews concentrate on reducing data collection, algorithmic audits assess post-deployment behavior, and security certifications verify security controls—whereas the PIA directly addresses privacy risks in the entire lifecycle prior to deployment.