massOfai

AI Safety

Ethics & Explainability

Designing AI systems to avoid harmful behavior

What is AI Safety?

Includes robust testing, alignment research, and deployment safeguards to mitigate risks from misuse or unexpected behavior.

Real-World Examples

  • Red-teaming models
  • Safety layers in deployment

Related Terms

Learn more about concepts related to AI Safety