Abstract
AI projects create solutions that deliver insights from data on their own or as a component of a larger system. Advanced techniques are pertinent to each of the four project types—performance assessments, experiments, dashboards, and operational AI capabilities. Projects can fail to deliver an inspiring, accurate, and timely result. Success is not a given and some AI concepts will simply not pan out. The leader must ensure failures are not a function of execution issues by the team. This work is technical in nature and requires a rigorous team approach to maximize impact. Leaders can engage and apply quality checks in five discrete phases around any given project to create effective team engagement and minimize the risk of a project failing to deliver the desired mission impact.
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Notes
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”A Closer Look: The Department of Defense AI Ethical Principles,” The Joint Artificial Intelligence Center, 24 February 2020, https://www.ai.mil/blog_02_24_20-dod-ai_principles.html
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Whitlock, C., Strickland, F. (2023). Leading the Project. In: Winning the National Security AI Competition. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8814-6_6
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DOI: https://doi.org/10.1007/978-1-4842-8814-6_6
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