An Education Model of Reasonable and Good-Faith Effort for Autonomous Systems

In this paper we propose a framework for conceptualizing and demonstrating a good-faith effort when developing autonomous systems. The framework addresses two fundamental problems facing autonomous systems: (1) the disconnect between human-mental models and machine-based sensors and algorithms; and (2) unpredictability in complex systems. We address these problems using a mix of education - explicitly delineating the mapping between human concepts and their machine equivalents in a structured manner - and data sampling with expected ranges as a testing mechanism. ethics, mental models, product law, unit testing

authors: Cindy Grimm and William Smart and Woodrow Hartzog

Authors: Cindy Grimm and William Smart and Woodrow Hartzog