Automating versus augmenting intelligence

ABSTRACT

This article addresses the prospects for automating intelligence versus augmenting human intelligence. The evolution of artificial intelligence (AI) is summarized, including contemporary AI and the new capabilities now possible. Functional requirements to augment human intelligence are outlined. An overall architecture is presented for providing this functionality, including how it will make deep learning explainable to decision makers. Three case studies are addressed, including driverless cars, medical diagnosis, and insurance underwriting. Paths to transformation in these domains are discussed. Prospects for innovation are considered in terms of what we can now do, what we surely will be able to do soon, and what we are unlikely to ever be able to do.

KEYWORDS:

• artificial intelligence
• augmented intelligence
• intelligent interfaces
• driverless cars
• medical diagnosis
• insurance underwriting