AI Glossary
AI Privacy
The practices used to protect personal and sensitive information within AI systems.
AI Privacy
Overview
Many AI systems depend on data.
Some of that data may contain personal, confidential, or sensitive information.
As a result, privacy has become one of the most important considerations in AI adoption.
AI Privacy refers to the practices, controls, and safeguards used to protect information processed by AI systems.
A helpful way to think about privacy is trust.
People are often willing to share information when they believe it will be handled responsibly.
Organizations have a responsibility to protect that trust.
AI privacy may involve data minimization, access controls, encryption, governance policies, monitoring, and privacy-preserving technologies.
As regulations and public expectations continue evolving, privacy is becoming an increasingly important part of responsible AI development.
Why It Matters
AI privacy helps protect individuals and organizations while supporting responsible AI adoption.
Real-World Example
A healthcare organization may implement privacy controls to protect patient information used in AI applications.