Psychological factors underlying attitudes toward AI tools
Julian Freitas (),
Stuti Agarwal,
Bernd Schmitt and
Nick Haslam
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Julian Freitas: Harvard Business School
Stuti Agarwal: Harvard Business School
Bernd Schmitt: Columbia Business School
Nick Haslam: University of Melbourne
Nature Human Behaviour, 2023, vol. 7, issue 11, 1845-1854
Abstract:
Abstract What are the psychological factors driving attitudes toward artificial intelligence (AI) tools, and how can resistance to AI systems be overcome when they are beneficial? Here we first organize the main sources of resistance into five main categories: opacity, emotionlessness, rigidity, autonomy and group membership. We relate each of these barriers to fundamental aspects of cognition, then cover empirical studies providing correlational or causal evidence for how the barrier influences attitudes toward AI tools. Second, we separate each of the five barriers into AI-related and user-related factors, which is of practical relevance in developing interventions towards the adoption of beneficial AI tools. Third, we highlight potential risks arising from these well-intentioned interventions. Fourth, we explain how the current Perspective applies to various stakeholders, including how to approach interventions that carry known risks, and point to outstanding questions for future work.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:7:y:2023:i:11:d:10.1038_s41562-023-01734-2
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DOI: 10.1038/s41562-023-01734-2
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