Investigating Trust in Expert System Advice for Business Ethics Audits

Tobias Kirchebner, Stephan Schlögl, Erin Bass, Thomas Dilger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The last decade has seen an uptake of Artificial Intelligence technology in many fields. In particular, we have witnessed the proliferation of so-called Expert Systems (i.e., algorithm-based recommender engines), which are increasingly used to support decision making processes. To this end, trust in technology plays a significant role, as without such people are unwilling to rely on this type of tool support. The goal of the research presented in this paper was thus to investigate said trust in ‘expert system advice’ when received in the context of a business ethics audit. We report on the results of a scenario-focused survey aimed at understanding people’s preference for an advice giver, and whether such is connected to their general trust behavior, as well as their affinity for technology. Results show that participants’ willingness to depend on machine advice is approximately similar to their willingness to depend on human advice, the trust they put into the artificial advice giver, however, increases with their affinity for technology.

Original languageEnglish (US)
Title of host publicationKnowledge Management in Organizations - 15th International Conference, KMO 2021, Proceedings
EditorsLorna Uden, I-Hsien Ting, Kai Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages316-328
Number of pages13
ISBN (Print)9783030816346
DOIs
StatePublished - 2021
Event15th International Conference on Knowledge Management in Organizations, KMO 2021 - Kaohsiung, Taiwan, Province of China
Duration: Jul 20 2021Jul 22 2021

Publication series

NameCommunications in Computer and Information Science
Volume1438
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference15th International Conference on Knowledge Management in Organizations, KMO 2021
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period7/20/217/22/21

Keywords

  • Artificial intelligence
  • Business ethics audits
  • Decision-making
  • Expert systems
  • Trust

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'Investigating Trust in Expert System Advice for Business Ethics Audits'. Together they form a unique fingerprint.

Cite this