A Qualitative Approach to the Public Perception of AI

Alexander Hick · Martina Ziefle

29 citations0/0 files storedInternational Journal on Cybernetics & Informatics

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Ethics and Social Impacts of AI Artificial Intelligence Applications Science Education and Perceptions

Abstract

Since the Dartmouth workshop on Artificial Intelligence coined the term, AI has been a topic ofevergrowing scientific and public interest. Understanding its impact on society is essential to avoid potential pitfalls in its applications. This study employed a qualitative approach to focus on the public’s knowledge of, and expectations for AI. We interviewed 25 participants in 30-minute interviews over a period of two months. In these interviews we investigated what people generally know about AI, what advantages and disadvantages they expect, and how much contact they have had with AI or AI based technology. Two main themes emerged: (1) a dystopian view about AI (e.g., ‘’the Terminator’’) and (2) an exaggerated or utopian attitude about the possibilities and abilities of AI. In conclusion, there needs to be accurate information, presentation, and education on AI and its potential impact in order to manage the expectations and actual capabilities.

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References

2003User Acceptance of Information Technology: Toward A Unified View1 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2019The global landscape of AI ethics guidelines 2017The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms 2006Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model1 2014Factors influencing acceptance of technology for aging in place: A systematic review 2021Adoption and use of AI tools: a research agenda grounded in UTAUT 2017Long-Term Trends in the Public Perception of Artificial Intelligence

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