Conceptualizing AI Risk
Martin Ciupa, Keith Abney · 2018
AI advances represent a great technological opportunity, but also possible perils.This paper undertakes an ethical and systematic evaluation of those risks in a pragmatic analytical form of questions, which we term 'Conceptual AI Risk analysis'.We then look at a topical case example in an actual industrial setting and apply that methodology in outline.The case involves Deep Learning Black-Boxes and their risk issues in an environment that requires compliance with legal rules and industry best practices.We examine a technological means to attempt to solve the Black-box problem for this case, referred to as "Really Useful Machine Learning" ( RUMLSM ).DARPA has identified such cases as being the "Third Wave of AI." Conclusions to its efficacy are drawn.