What is AI Privacy?
AI privacy refers to the protection of personal data and user confidentiality in the context of artificial intelligence systems. As AI technologies advance, ensuring privacy has become a critical challenge.
Key Topics Covered
- Data Anonymization: Techniques to remove direct identifiers from datasets.
- Bias & Fairness: How privacy concerns intersect with algorithmic fairness.
- Regulatory Compliance: GDPR, CCPA, and other laws governing AI data use.
- Privacy-Preserving AI: Methods like federated learning and differential privacy.
Real-World Applications
- Healthcare: Secure patient data analysis using AI.
- Finance: Fraud detection while protecting user privacy.
- Smart Cities: Balancing public safety and individual anonymity.
Why This Course?
Learn how to design AI systems that respect privacy and comply with global standards.
Explore more about AI privacy fundamentals here.