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    Publications

NIST CSWP 31

Proxy Validation and Verification for Critical AI Systems: A Proxy Design Process

Documentation Topics

Date Published: September 26, 2024

Author(s)

Phillip Laplante (NIST), Joanna DeFranco (NIST), Richard Kuhn (NIST), Jeffrey Voas (NIST), Mohamad Kassab (Penn State University)

Abstract

This white paper describes a five-phase process that includes identifying or building proxy systems that have high similarity to a Critical AI System (CAIS), representing a kind of validation, and verifying the proxy by creating and testing both use and misuse cases of each proxy against its CAIS.

This white paper describes a five-phase process that includes identifying or building proxy systems that have high similarity to a Critical AI System (CAIS), representing a kind of validation, and verifying the proxy by creating and testing both use and misuse cases of each proxy against its CAIS. See full abstract

This white paper describes a five-phase process that includes identifying or building proxy systems that have high similarity to a Critical AI System (CAIS), representing a kind of validation, and verifying the proxy by creating and testing both use and misuse cases of each proxy against its CAIS.


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Keywords

artificial intelligence; critical systems; critical AI system; validation and verification testing
Control Families

None selected

Documentation

Publication:
https://doi.org/10.6028/NIST.CSWP.31
Download URL

Supplemental Material:
None available

Document History:
09/26/24: CSWP 31 (Final)

Topics

Security and Privacy

testing & validation, trustworthiness

Technologies

artificial intelligence

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