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LITIGATION SUPPORT TIP OF THE NIGHT

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NIST Explains AI

Sean O'Shea
Sep 11, 2020
1 min read

Explainable Artificial Intelligence is a term used to describe a method for allowing the results of AI systems to be understood by humans. NIST’s NISTIR 8312 Four Principles of Explainable Artificial Intelligence establishes these four principles for explainable AI.

Explanation: Systems deliver accompanying evidence or reason(s) for all outputs.

Meaningful: Systems provide explanations that are understandable to individual users.

Explanation Accuracy: The explanation correctly reflects the system’s process for generating the output.

Knowledge Limits: The system only operates under conditions for which it was designed

or when the system reaches a sufficient confidence in its output.

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