A Brief History of the Relationship between Expertise and Artificial Intelligence
van Diggelen, J.
Germain, M.L. (editor)
Grenier, R.S. (editor)
This chapter presents a brief history of expertise studies and Artificial Intelligence from a joint cognitive systems viewpoint. Expertise is currently viewed as skilled adaptation to complexity and novelty. Artificial intelligence, when restricted to machine learning systems, results in brittle systems that cannot cope with unanticipated variability and hence do not match human experts’ competencies. In order to effectively collaborate with human experts, AI requires collaborative skills, such as being able to explain itself. On the other hand, the introduction of AI will also result in a series of new skills that human experts need to develop in order to deal with AI. We argue for a joint cognitive systems perspective, allowing us to see the intricacies of the mutual dependencies between humans and AI, and the constantly evolving distribution of skill sets that are required from an organizational perspective. We illustrate the general principles described above through a case study in radiology.
To reference this document use:
Palgrave Macmillan, Cham
Expertise at work: Current and emerging trends, 149-175