Print Email Facebook Twitter Clearing the way for participatory data stewardship in artificial intelligence development Title Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach Author Kelly, Sage (Queensland University of Technology) Kaye, Sherrie Anne (Queensland University of Technology) White, Katherine M. (Queensland University of Technology) Oviedo-Trespalacios, O. (TU Delft Safety and Security Science) Date 2023 Abstract Participatory data stewardship (PDS) empowers individuals to shape and govern their data via responsible collection and use. As artificial intelligence (AI) requires massive amounts of data, research must assess what factors predict consumers’ willingness to provide their data to AI. This mixed-methods study applied the extended Technology Acceptance Model (TAM) with additional predictors of trust and subjective norms. Participants’ data donation profile was also measured to assess the influence of individuals’ social duty, understanding of the purpose and guilt. Participants (N = 322) completed an experimental survey. Individuals were willing to provide data to AI via PDS when they believed it was their social duty, understood the purpose and trusted AI. However, the TAM may not be a complete model for assessing user willingness. This study establishes that individuals value the importance of trusting and comprehending the broader societal impact of AI when providing their data to AI. Practitioner summary: To build responsible and representative AI, individuals are needed to participate in data stewardship. The factors driving willingness to participate in such methods were studied via an online survey. Trust, social duty and understanding the purpose significantly predicted willingness to provide data to AI via participatory data stewardship. Subject AIhuman factorsparticipatory data stewardshippsychosocial modelsuser acceptance To reference this document use: http://resolver.tudelft.nl/uuid:c78ac1b9-ce90-4459-8075-bb0f27d5acb6 DOI https://doi.org/10.1080/00140139.2023.2289864 ISSN 0014-0139 Source Ergonomics: an international journal of research and practice in human factors and ergonomics, 66 (11), 1782-1799 Part of collection Institutional Repository Document type journal article Rights © 2023 Sage Kelly, Sherrie Anne Kaye, Katherine M. White, O. Oviedo-Trespalacios Files PDF Clearing_the_way_for_part ... proach.pdf 1.6 MB Close viewer /islandora/object/uuid:c78ac1b9-ce90-4459-8075-bb0f27d5acb6/datastream/OBJ/view