Building trust and confidence in AI

Janet Bastiman
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Janet Bastiman: Napier, 1 Poultry, London, EC2R 8EJ, UK

Journal of AI, Robotics & Workplace Automation, 2022, vol. 1, issue 4, 350-359

Abstract: While some industries are rushing to adopt artificial intelligence (AI) technologies, there are those who are lagging behind, due either to their own lack of confidence or to perceived conflicts with regulation or their customer needs. This paper covers some of the myths perpetuated within the AI community regarding trust and confidence and how you can begin to build AI solutions with end user trust as a priority considering the latest regulatory proposals.

Keywords: trust; confidence; explainability; testing; risk; legislation (search for similar items in EconPapers)
JEL-codes: G2 M15 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:aza:airwa0:y:2022:v:1:i:4:p:350-359

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