Data Protection
term_id: data_protection
Category: ethics_safety
Definition
Data Protection encompasses legal, technical, and organizational measures designed to secure personal and proprietary data against breaches and misuse. In AI, this includes implementing encryption, access controls, and anonymization techniques to comply with regulations like GDPR. It ensures that training data and user interactions remain private and secure, fostering trust and ethical responsibility in AI systems.
Summary
The process of safeguarding sensitive information from unauthorized access, corruption, or theft throughout its lifecycle.
Key Concepts
- Encryption
- Privacy Compliance
- Access Control
- Anonymization
Use Cases
- Securing patient health records in medical AI
- Protecting user identity in recommendation systems
- Complying with GDPR for EU citizens’ data