AI Literacy - Towards Measuring Human Competency in Artificial Intelligence

dc.contributor.author Pinski, Marc
dc.contributor.author Benlian, Alexander
dc.date.accessioned 2022-12-27T18:49:23Z
dc.date.available 2022-12-27T18:49:23Z
dc.date.issued 2023-01-03
dc.description.abstract Artificial intelligence (AI) has gained significant traction in information systems (IS) research in recent years. While past studies have identified many effects of AI technology on human-AI collaborations, there is a paucity in IS literature on the competencies of humans that affect this relationship. In this study, we set out to develop a measurement instrument (scale) for general AI literacy, that is humans’ socio-technical competencies regarding AI. We conducted a systematic literature review followed by five expert interviews to define and conceptualize the construct of general AI literacy and to generate an initial set of items. Furthermore, we performed two rounds of card sorting with six and five judges and a pre-test study with 50 participants to evaluate the developed scale. The validated measurement instrument contains five dimensions and 13 items. We provide empirical support for the measurement model and conclude with future research directions.
dc.format.extent 10
dc.identifier.doi 10.24251/HICSS.2023.021
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/102649
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject AI and the Future of Work
dc.subject ai competencies
dc.subject ai skills
dc.subject artificial intelligence
dc.subject future of work
dc.subject human-ai interaction
dc.title AI Literacy - Towards Measuring Human Competency in Artificial Intelligence
dc.type.dcmi text
prism.startingpage 165
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