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Suggested Citation:"Appendix A: Statement of Task." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
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A

Statement of Task

The National Academies of Sciences, Engineering, and Medicine will establish an ad hoc committee to (1) plan and convene a multi-day workshop and (2) conduct a consensus study to examine the Air Force Test Center’s technical capabilities and capacity to conduct rigorous and objective test, evaluation, and assessments of artificial intelligence (AI)-enabled systems under operational conditions and against realistic threats. Specifically, the committee will:

  1. Evaluate and contrast current testing and assessment methods employed by the Department of the Air Force and in commercial industry.
  2. Consider examples of AI corruption under operational conditions and against malicious cyberattacks.
  3. Recommend promising areas of science and technology that may lead to improved detection and mitigation of AI corruption.

The committee will provide workshop proceedings—in brief and in a report summarizing the results from the consensus study.

Suggested Citation:"Appendix A: Statement of Task." National Academies of Sciences, Engineering, and Medicine. 2023. Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force. Washington, DC: The National Academies Press. doi: 10.17226/27092.
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Page 141
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 Test and Evaluation Challenges in Artificial Intelligence-Enabled Systems for the Department of the Air Force
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The Department of the Air Force (DAF) is in the early stages of incorporating modern artificial intelligence (AI) technologies into its systems and operations. The integration of AI-enabled capabilities across the DAF will accelerate over the next few years.

At the request of DAF Air and Space Forces, this report examines the Air Force Test Center technical capabilities and capacity to conduct rigorous and objective tests, evaluations, and assessments of AI-enabled systems under operational conditions and against realistic threats. This report explores both the opportunities and challenges inherent in integrating AI at speed and at scale across the DAF.

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