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Search Publications by: Phillip Laplante (Fed)

Displaying 1 - 2 of 2

Proxy Validation and Verification for Critical AI Systems

September 26, 2024

Author(s)

Phillip Laplante, Joanna DeFranco, D. Richard Kuhn, Jeff Voas

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

AI Assurance for the Public -- Trust but Verify, Continuously

October 3, 2022

Author(s)

Phillip Laplante, D. Richard Kuhn

Artificial intelligence (AI) systems are increasingly seen in many public facing applications such as self-driving land vehicles, autonomous aircraft, medical systems and financial systems. AI systems should equal or surpass human performance, but given