AI engineering glossary · AI ethics law product
What is Responsible AI?
Responsible AI: An approach to building and deploying AI that puts ethical and social considerations, such as fairness, privacy, safety, transparency and accountability, into everyday engineering and business practice. It covers policies, tooling and review processes, not just principles on a slide.
Responsible AI: an example
Before launching a hiring assistant, a company runs a fairness test, documents limitations, sets up human review and defines who is accountable for problems.
Related terms
- AI governance
- Trustworthy AI
- Algorithmic impact assessment
- Model card
More AI ethics law product terms
- Retention rate
- Right of access
- Right to erasure
- Right to explanation
- Saliency map
- Sensitive personal data
- Shadow mode
- SHAP
Where you learn it
Responsible AI is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.