A Framework for Evidence-Based Licensure of Adaptive Autonomous Systems: Technical Areas
David M. Tate, Rebecca A. Grier, Christopher Martin, Franklin L. Moses, D. A. Sparrow · 2016
Abstract : Adaptive autonomous systems of interest to DoD have great potential to complement human performance in a wide range of missions. This particularly is true for adaptive systems that learn those whose behavior on a given set of inputs may change over time, even after the system has been fielded. However, such adaptation makes exhaustive testing, certification, and licensure of the final system impossible.