NIST · ИТ · 42276acb1cb2d3595160
Proxy Validation and Verification for Critical AI Systems
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
NIST · ИТОфициальный источник · 2024-09-26
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"title_en": "Proxy Validation and Verification for Critical AI Systems",
"designation": "",
"series": "",
"status": "",
"date": "2024-09-26",
"date_original": "September 26, 2024",
"url": "https://www.nist.gov/publications/proxy-validation-and-verification-critical-ai-systems",
"source": "NIST Publications",
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"authors_en": "Phillip Laplante , Joanna DeFranco , D. Richard Kuhn , Jeff Voas",
"abstract_excerpt_en": "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",
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{
"title_en": "Proxy Validation and Verification for Critical AI Systems",
"designation": "",
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"date": "2024-09-26",
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"url": "https://www.nist.gov/publications/proxy-validation-and-verification-critical-ai-systems",
"source": "NIST Publications",
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"authors_en": "Phillip Laplante , Joanna DeFranco , D. Richard Kuhn , Jeff Voas",
"abstract_excerpt_en": "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"
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