Intelligent IT Systems in Business Application

Alexander Rühr (), Benedikt Berger () and Thomas Hess ()
Additional contact information
Alexander Rühr: OMMAX - Building Digital Leaders
Benedikt Berger: University of Münster
Thomas Hess: Ludwig-Maximilians-Universität München

A chapter in Work and AI 2030, 2023, pp 125-132 from Springer

Abstract: Abstract Intelligent IT systems can handle a growing spectrum of cognitive and physical tasks as well or better than humans. This enables these IT systems to act increasingly autonomously. However, the commercial automation potential associated with this development can only be exploited if people are willing to delegate tasks to intelligent IT systems. However, this willingness is not generally present, but requires the building of trust. This chapter addresses the question of how to promote trust-building in intelligent IT systems, and identifies control and transparency as two important trust antecedents. These insights have important implications for the successful collaboration between humans and intelligent IT systems in work environments of the future.

Date: 2023
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:978-3-658-40232-7_14

Ordering information: This item can be ordered from
http://www.springer.com/9783658402327

DOI: 10.1007/978-3-658-40232-7_14

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 ().