Predictive Modeling Ethics
Predictive Modeling Ethics is a normative framework that governs the responsible design, deployment, and use of predictive models in campaign contexts by ensuring fairness, transparency, accountability, and respect for individual privacy in data-driven decision-making processes.
18
Publications
971
Citations
47
Authors
30
Institutions
Publications per year
2017–2026
13
Parents
18
1–5 of 18
47
2
h-index
1
h-index
The University of Texas Southwestern Medical Center, United States
1 publications · 306 citations
1
h-index
1
h-index
1
h-index
1–5 of 47
30
Murphy Oil Corporation (United States)
Arkansas City, United States
1 h-index
1 publications
39 citations
Cal Humanities
San Francisco, United States
1 h-index
1 publications
306 citations

University of Puget Sound
Tacoma, United States
1 h-index
4 publications
108 citations
The University of Texas Southwestern Medical Center
Dallas, United States
1 h-index
1 publications
306 citations
Royal Victoria Hospital
Belfast, United Kingdom
1 h-index
1 publications
14 citations
Shahed University
Tehran, Iran
1 h-index
1 publications
306 citations

Gartnavel General Hospital
Glasgow, United Kingdom
1 h-index
1 publications
14 citations
New York University
New York, United States
1 h-index
1 publications
26 citations
1–8 of 30
Repository · 2 publications · 27 citations
2
h-index
1 publications · 27 citations
1
h-index
1 publications · 26 citations
1
h-index
PAR · 1 publications · 58 citations
1
h-index
BJP · 1 publications · 14 citations
1
h-index
1–5