AI & Machine Learning / Practice
Responsible AI
Definition
The design, use, and governance of AI systems with attention to evidence, safety, privacy, fairness, transparency, accountability, and human consequences.
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Open this concept in the glossary →Editorial explanation
Learning contexts can affect opportunities and records about people, so AI decisions require more than technical performance alone.
Related concepts
Sources and evidence
- LeBOK — 8.5.3 Responsible Use of AI in Learning Analytics (direct)
- UNESCO AI Competency Framework for Teachers — PDF p. 16 · report p. 17 — §2.2 A human-centred approach to AI (supporting)