Kate Mays

crossrefMachine Learning and Knowledge Extraction2024-02-05Cited by 47

More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts

Ekaterina Novozhilova, Kate Mays, Sejin Paik, James E. Katz

Modern AI applications have caused broad societal implications across key public domains. While previous research primarily focuses on individual user perspectives regarding AI systems, this study expands our understanding to encompass general public perceptions. Through a survey…

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Reply to Damaševičius, R. Comment on “Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342–366”

More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts