A Brief History of the Relationship Between Expertise and Artificial Intelligence

Jan Maarten Schraagen () and Jurriaan Diggelen ()
Additional contact information
Jan Maarten Schraagen: TNO (The Netherlands Organisation for Applied Scientific Research)
Jurriaan Diggelen: TNO (The Netherlands Organisation for Applied Scientific Research)

Chapter 8 in Expertise at Work, 2021, pp 149-175 from Springer

Abstract: Abstract This chapter presents a brief history of expertise studies and artificial intelligence (AI) from a joint cognitive systems viewpoint. Expertise is currently viewed as a 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 also results 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.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-64371-3_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030643713

DOI: 10.1007/978-3-030-64371-3_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().