Definition
In artificial intelligence, privacy refers to the protection of sensitive user information from unauthorized access or misuse during data collection, model training, and inference phases. It involves implementing technical safeguards like differential privacy and federated learning to ensure that individual identities cannot be reverse-engineered from aggregated datasets or model outputs, thereby maintaining trust and regulatory compliance.
Summary
The right of individuals to control how their personal data is collected, used, and shared within AI systems.
Key Concepts
- Data Anonymization
- Differential Privacy
- Consent Management
- GDPR Compliance
Use Cases
- Healthcare diagnostics using patient records
- Financial fraud detection systems
- Personalized recommendation engines