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Proxy Validation and Verification for Critical AI Systems
Published
Author(s)
Phillip Laplante, Joanna DeFranco, D. Richard Kuhn, Jeff Voas
Abstract
This white paper offers a suggestion that prior testing artifacts from similar AI systems can be reused for new AI software. Testing AI and Machine learning software is difficult, and if prior testing results from similar systems could be applied as a proxy, this would be a significant research advance.
Laplante, P.
, DeFranco, J.
, Kuhn, D.
and Voas, J.
(2024),
Proxy Validation and Verification for Critical AI Systems, NIST Cybersecurity White Papers (CSWP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.CSWP.31, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956743
(Accessed October 2, 2025)