Model Accountability
Model Accountability is a formal governance framework that specifies the mechanisms, responsibilities, and auditability procedures governing the development, deployment, and monitoring of machine learning models to ensure transparency, compliance, and answerability to stakeholders.
20
Publications
1K
Citations
88
Authors
49
Institutions
Publications per year
2017–2026
11
Parents
20
Five ways to ensure that models serve society: a manifesto
Andrea Saltelli, Gabriele Bammer, Isabelle Bruno et al. · Nature · 2020 · 467 citations · Full text
Carmine Bianchi · Systems Research and Behavioral Science · 2010 · 95 citations · Full text
Public Affairs, Public Administration, Public Management +15
1–5 of 20
88
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 88
49

Australian National University
Canberra, Australia
3 h-index
2 publications
513 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
84 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
467 citations
National Research Council
Rome, Italy
1 h-index
1 publications
467 citations
Parallel Consulting (United States)
Petaluma, United States
1 h-index
6 publications
156 citations
University of Bergen
Bergen, Norway
1 h-index
1 publications
467 citations
Open Evidence
Barcelona, Spain
1 h-index
1 publications
467 citations
St. John's College of Nursing
Springfield, United States
1 h-index
1 publications
467 citations
1–8 of 49
1 publications · 14 citations
1
h-index
AN · 1 publications · 24 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 23 citations
1
h-index
1–5