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Test and Evaluation of Artificial Intelligence Models - What to Consider in a Test & Evaluation Strategy


Summary

Provides a strategic overview for how organizations should approach T&E of AI models, particularly within the DoD context. Aimed at developers & testers working on AI-enabled or AI component systems. Offers best practices for designing T&E strategis that account for performance, data, model behavior, and context.


Key Takeaways

  • Details several AI/ML categories, including performance, data, and testing methods
  • Emphasizes need for operational realism & scenarios at the model level and model testing stage, not just systems level.

Additional Sources


Tags

t&e


License

Public domain