Created by W.Langdon from gp-bibliography.bib Revision:1.8010
As a result, AI systems are poised to fundamentally change the way we live and work. AI is quickly becoming a major driver of innovation, growth and competitiveness, and is bound to play a crucial role in addressing the challenges we face individually and as societies. However, high-quality AI systems require considerable expertise to build, maintain and operate. For the foreseeable future, AI expertise will be a limiting factor in the broad deployment of AI systems, and, unless managed very carefully, this will lead to uneven access and increasing inequality. It is also likely to cause the wide-spread use of low-quality AI systems, developed without the proper expertise.
Here, we propose to address this problem using AI methods, specifically, automated algorithm design, machine learning and optimisation techniques, to help build and deploy the next generation of AI systems. This gives rise to an approach we refer to as automated artificial intelligence (AutoAI). Ultimately, research on AutoAI aims to make it possible for people who benefit from AI to develop, deploy and maintain AI systems that are performant, robust and predictable, without requiring deep and highly specialised AI expertise. AutoAI will thus dramatically broaden access to high-quality AI systems.",
Genetic Programming entries for Holger H Hoos