Jensen, T.
, Przybocki, M.
, Kodwani, M.
, Greene, K.
, Hall, P.
, Amironesei, R.
and Greenberg, C.
(2026),
ARIA Evaluation Planning Manual: Elements of ARIA-Style AI Evaluations, NIST Trustworthy and Responsible AI, National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.AI.200-3, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=962584 (Accessed September 19, 2026)
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ARIA Evaluation Planning Manual: Elements of ARIA-Style AI Evaluations
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Author(s)
, , Monica Kodwani, , Patrick Hall, ,
Abstract
This document outlines the components for evaluating an AI application using the NIST Assessing Risks and Impacts of AI (ARIA) approach. The ARIA Evaluation Planning Manual is designed to illustrate the various elements of conducting a holistic AI evaluation and can be used as a first step in developing new, customized AI evaluations. The ARIA approach assesses an AI system's trustworthiness by combining data from three types of testing: Model Testing, Red Teaming, and User Testing. This manual lists the necessary evaluation elements and provides links to available resources for developing materials and infrastructure.Citation
NIST Trustworthy and Responsible AI - 200-3
Report Number
200-3
Pub Type
NIST Pubs
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Keywords
AI Evaluation, AI Measurement, Model Testing, Red Teaming, User Testing, Trustworthiness.
Citation
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Created September 18, 2026