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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”

1
College of Communication, Boston University, Boston, MA 02215, USA
2
Department of Community Development and Applied Economics, College of Agriculture and Life Sciences, University of Vermont, Burlington, VT 05405, USA
*
Author to whom correspondence should be addressed.
Mach. Learn. Knowl. Extr. 2024, 6(3), 1670-1672; https://doi.org/10.3390/make6030082
Submission received: 24 June 2024 / Revised: 12 July 2024 / Accepted: 18 July 2024 / Published: 22 July 2024
(This article belongs to the Special Issue Fairness and Explanation for Trustworthy AI)

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MDPI and ACS Style

Novozhilova, E.; Mays, K.; Paik, S.; Katz, J. 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”. Mach. Learn. Knowl. Extr. 2024, 6, 1670-1672. https://doi.org/10.3390/make6030082

AMA Style

Novozhilova E, Mays K, Paik S, Katz J. 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”. Machine Learning and Knowledge Extraction. 2024; 6(3):1670-1672. https://doi.org/10.3390/make6030082

Chicago/Turabian Style

Novozhilova, Ekaterina, Kate Mays, Sejin Paik, and James Katz. 2024. "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”" Machine Learning and Knowledge Extraction 6, no. 3: 1670-1672. https://doi.org/10.3390/make6030082

APA Style

Novozhilova, E., Mays, K., Paik, S., & Katz, J. (2024). 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”. Machine Learning and Knowledge Extraction, 6(3), 1670-1672. https://doi.org/10.3390/make6030082

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