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NIST/NCCoE Mitigating AI/ML Bias in Context Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems Draft

  • 1.  NIST/NCCoE Mitigating AI/ML Bias in Context Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems Draft

    Posted Aug 18, 2022 08:42:00 AM
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    Hi All,

    NIST/NCCoE just published Mitigating AI/ML Bias in Context Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems Draft

    Publication of this project description begins a process of soliciting public comments for the project requirements, scope, and hardware and software components for use in a laboratory environment.

    We want your feedback on this draft to help refine the project. The comment period is now open and will close on September 16, 2022.
    To tackle the complex problem of mitigating AI bias, this project will adopt a comprehensive socio-technical approach to testing, evaluation, verification, and validation (TEVV) of AI systems in context. This approach will connect the technology to societal values in order to develop guidance for recommended practices in deploying automated decision-making supported by AI/ML systems. A small but novel part of this project will be to look at the interplay between bias and cybersecurity and how they interact with each other.
    The project's initial phase will focus on a proof-of-concept implementation for credit underwriting decisions in the financial services sector. We intend to consider other application use cases, such as hiring and school admissions, in the future. This project will result in a freely available NIST SP 1800 Series Practice Guide.

    The public comment period for this draft is open through September 16, 2022. See the publication and https://www.nccoe.nist.gov/projects/mitigating-aiml-bias-context#publications_comment_form for submitting comments.



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    Michael Roza CPA, CISA, CIA, MBA, Exec MBA
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