Enabling AI Adoption through Assurance

Abstract

The wide-scale adoption of AI will require that AI engineers and developers can provide assurances to the user base that an algorithm will perform as intended and without failures. AI assurance is the safety valve for reliable, dependable, explainable, and fair intelligent systems. It provides the necessary tools to enable AI adoption into applications, software, hardware, and complex systems. This interactive tutorial will provide an overview of AI assurance, introduce a new set of assurance goals for intelligent systems, discuss the open challenges in assurance, and present recommendations to overcome its drawbacks.