What NISTIR 8312 Four Principles of Explainable Artificial Intelligence - Explanation, Meaningful, Explanation Accuracy and Knowledge Limits for AI Systems requires
NISTIR 8312 (Four Principles of Explainable Artificial Intelligence, September 2021) defines the four core principles of explainable AI (XAI) for developers, evaluators, and policymakers: Explanation, Meaningful, Explanation Accuracy, and Knowledge Limits (Section 2). It also covers purposes and styles of explanations, explainable AI algorithms including self-interpretable models and post-hoc explanations, and methods for evaluating explainable AI, to guide the development of trustworthy and transparent AI systems.
Pillar: AI Governance & Law · Authority: National Institute of Standards and Technology (NIST) · Version: 2.0.0 · Last updated:
Primary source: https://nvlpubs.nist.gov/nistpubs/ir/2021/NIST.IR.8312.pdf
SHA-256 integrity: e7f17743df13deb464b5a5657efc00b6394ed61b682a6aed021d73cf97128f32
Primary Citations — 7 traced to source
- NISTIR 8312, Section 2.1: Explanation
- NISTIR 8312, Section 2.2: Meaningful
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