Machine Learning and Knowledge Extraction (Jul 2024)

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

Ekaterina Novozhilova,
Kate Mays,
Sejin Paik,
James Katz

Affiliations

Ekaterina Novozhilova: College of Communication, Boston University, Boston, MA 02215, USA
Kate Mays: Department of Community Development and Applied Economics, College of Agriculture and Life Sciences, University of Vermont, Burlington, VT 05405, USA
Sejin Paik: College of Communication, Boston University, Boston, MA 02215, USA
James Katz: College of Communication, Boston University, Boston, MA 02215, USA

DOI: https://doi.org/10.3390/make6030082
Journal volume & issue: Vol. 6, no. 3
pp. 1670 – 1672

Abstract

We would like to thank Dr [...]

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Published in Machine Learning and Knowledge Extraction

ISSN: 2504-4990 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
Website: https://www.mdpi.com/journal/make

About the journal