Concept dictionary
Responsible AI
Responsible AI is an umbrella commitment to develop and use AI in ways that are lawful, safe, fair, transparent, accountable, privacy-aware, and appropriate to the people and context affected.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 2
Also called
- Responsible AI
Remember it this wayPrinciples become responsibility only when they govern real choices.
In plain language
The term brings several principles together, but each organization must translate those principles into concrete decisions, controls, evidence, and ownership.
Why it matters
High-level commitments can align teams and expectations, but they create trust only when operational practices and results can be examined.
Example
A responsible-AI program connects stated principles to use-case review, testing, documentation, monitoring, appeal paths, and named decision owners.
Common misconception
Calling a product or program responsible does not establish that it is. The claim needs context-specific evidence and continuing oversight.
Related terms
Sources
- OECD, OECD AI Principlesinternational principles for trustworthy and responsible stewardship of AI.
- NIST AI 100-1, Artificial Intelligence Risk Management Frameworkrisk-based practices for trustworthy and responsible AI.
Learn more
- Operationalize the commitment through [[ai-governance|AI Governance]] and [[human-ownership|Human Ownership]].