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Attitudes to decision-making under risk supported by artificial intelligence and humans: Perceived risk, reliability and acceptance
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The purpose of this investigation was to explore how decision situations with varying degrees of perceived risk affect people’s attitudes to human and artificial intelligence (AI) decision-making support. While previous studies have focused on the trust, fairness, reliability and fear of artificial intelligence, robots and algorithms in relation to decision support, the risk inherent in the decision situation has been largely ignored. An online survey with a mixed approach was conducted to investigate artificial intelligence and human decision support in risky situations. Two scenarios were presented to the survey participants. In the scenario where the perceived situational risk was low, selecting a restaurant, people expressed a positive attitude towards relying on and accepting recommendations provided by an AI. In contrast, in the perceived high-risk scenario, purchasing a home, people expressed an equal reluctance to rely on or accept both AI and human recommendations. The limitations of this investigation are primarily related to the challenges of creating a common understanding of concepts such as AI and a relatively homogenous survey group. The implication of this study is that AI may currently be best applied to situations characterized by perceived low risk if the intention is to convince people to rely on and accept AI recommendations, and in the future if AI becomes autonomous, to accept decisions.

Place, publisher, year, edition, pages
2019. , p. 61
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:hig:diva-29384OAI: oai:DiVA.org:hig-29384DiVA, id: diva2:1296662
Subject / course
Decision, risk and policy analysis
Educational program
Decision, risk och policy analysis - master’s programme (one year)
Supervisors
Examiners
Available from: 2019-03-20 Created: 2019-03-16 Last updated: 2019-03-20Bibliographically approved

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fulltext(850 kB)573 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf