Privacy-Enhancing Technologies (PETs) are transforming computer vision by enabling organizations to extract valuable insights from visual data while protecting personal privacy. Explore AI-powered anonymization, synthetic data generation, differential privacy, homomorphic encryption, secure multi-party computation, edge-based processing, and privacy-by-design approaches for safer, more responsible visual AI.