Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study

Michael Gerlich ()
Additional contact information
Michael Gerlich: Department of Management, SBS Swiss Business School, 8302 Kloten, Zurich, Switzerland

Social Sciences, 2023, vol. 12, issue 9, 1-24

Abstract: In this comprehensive study, insights from 1389 scholars across the US, UK, Germany, and Switzerland shed light on the multifaceted perceptions of artificial intelligence (AI). AI’s burgeoning integration into everyday life promises enhanced efficiency and innovation. The Trustworthy AI principles by the European Commission, emphasising data safeguarding, security, and judicious governance, serve as the linchpin for AI’s widespread acceptance. A correlation emerged between societal interpretations of AI’s impact and elements like trustworthiness, associated risks, and usage/acceptance. Those discerning AI’s threats often view its prospective outcomes pessimistically, while proponents recognise its transformative potential. These inclinations resonate with trust and AI’s perceived singularity. Consequently, factors such as trust, application breadth, and perceived vulnerabilities shape public consensus, depicting AI as humanity’s boon or bane. The study also accentuates the public’s divergent views on AI’s evolution, underlining the malleability of opinions amidst polarising narratives.

Keywords: artificial intelligence; AI; public sentiment; AI acceptance; trustworthiness; perceived risks; societal attitude (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2076-0760/12/9/502/pdf (application/pdf)
https://www.mdpi.com/2076-0760/12/9/502/ (text/html)

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:gam:jscscx:v:12:y:2023:i:9:p:502-:d:1234519

Access Statistics for this article

Social Sciences is currently edited by Ms. Yvonne Chu

More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().