Perceived Algorithmic Risk
Perceived Algorithmic Risk is a psychological construct denoting the subjective assessment of potential harm, unfairness, or adverse consequences associated with the deployment and decision-making of algorithmic systems, distinguished from objective risk by its dependence on individual beliefs, experiences, and contextual cues in the evaluation of algorithmic behavior.
31
Publications
3.8K
Citations
83
Authors
60
Institutions
Publications per year
2017–2026
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Leibniz-Institut für Wissensmedien
Tübingen, Germany
2 h-index
7 publications
512 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
1.7K citations

University of Tübingen
Tübingen, Germany
2 h-index
7 publications
512 citations
College of Business Administration
Riga, Latvia
2 h-index
2 publications
119 citations

UNSW Sydney
Sydney, Australia
1 h-index
3 publications
138 citations

University of Leicester
Leicester, United Kingdom
1 h-index
1 publications
12 citations
Ostfalia University of Applied Sciences
Wolfenbüttel, Germany
1 h-index
3 publications
246 citations
Wayne State University
Detroit, United States
1 h-index
2 publications
34 citations
1–8 of 60
5 publications · 257 citations
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2 publications · 91 citations
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1 publications · 39 citations
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1 publications · 41 citations
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1 publications · 32 citations
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