Examples
Worked examples
- Is an instance
An organisation's responsible-AI programme covering model cards, pre-deployment audits, ongoing monitoring, and an ethics-review board.
- Is an instance
A research lab's responsible-AI publication checklist applied before model release.
Counter-examples
Looks similar, but isn't
- Not an instance
A purely technical performance evaluation.
- Not an instance
A marketing claim of 'ethical AI' without operational backing.
Editorial commentary
Responsible AI is the practical operationalisation of AI ethics: it spans guidelines (OECD AI Principles, UNESCO Recommendation), assurance frameworks (UK Government AI Assurance), and corporate practice. Specific component disciplines include fairness measurement, explainability, privacy-preserving ML, red-teaming, and impact assessment.
References
- OECD AI Principles (2019); UNESCO Recommendation on the Ethics of Artificial Intelligence (2021).
Also known as
RAI
Machine-readable encodings
Use in your systems
xml
<role vocab="credit"
vocab-identifier="https://casrai.org/dictionary/"
vocab-term="Responsible AI"
vocab-term-identifier="https://casrai.org/dictionary/term/responsible-ai" />json
{
"@context": "https://schema.org",
"@type": "DefinedTerm",
"name": "Responsible AI",
"identifier": "https://casrai.org/dictionary/term/responsible-ai",
"description": "An umbrella term covering the design, development, deployment, and governance practices intended to ensure AI systems are ethical, fair, transparent, accountable, robust, secure, and respectful of privacy.",
"inDefinedTermSet": "https://casrai.org/dictionary/domain/ai-and-ml-research-outputs/",
"url": "https://casrai.org/dictionary/term/responsible-ai",
"sameAs": [
"RAI"
],
"license": "https://creativecommons.org/licenses/by/4.0/"
}
