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Survey finds that technical robustness and safety are key factors in increasing generative AI usage, indicating diverse public motivations.
While institutions have developed Trustworthy AI (TAI) frameworks, less is known about whether the public indeed finds TAI factors important to increasing their generative AI (GAI) usage, and how TAI and other usage motivators relate to GAI usage types and perceived GAI risks. Surveying 322 U.S. adults, this study found Technical Robustness and Safety to be the top TAI factor, though it was second overall (after Effort Expectancy). Multiple Correspondence Analysis (MCA) found notable groupings. For example, infrequent GAI usage was related to preferring the Privacy and Data Governance TAI. Respondents who perceived GAI as lower risk preferred the Societal and Environmental Well‐being TAI, Performance Expectancy, and Facilitating Conditions motivators.
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Sei‐Ching Joanna Sin (2025) studied this question.
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