Privacy-Preserving Machine Learning
Ethics & Safety
The protection of personal data and information in AI systems from unauthorized access or misuse.
Detailed Explanation
Privacy in AI refers to safeguarding individuals' personal data and information from unauthorized access, disclosure, or misuse. It involves implementing measures to ensure data confidentiality, integrity, and control, respecting user consent. Maintaining privacy is essential for building trust, complying with legal standards, and preventing potential harm or discrimination resulting from the mishandling of sensitive information.
Use Cases
- •Ensuring user privacy in AI chatbots prevents data leaks, maintains trust, and complies with regulations during sensitive customer interactions.
Related Terms
Other terms in the Ethics & Safety category