Optimized scoring systems: Toward trust in machine learning for healthcare and criminal justice
Journal Article (Journal Article)
Abstract. Questions of trust in machine-learning models are becoming increasingly important as these tools are starting to be used widely for high-stakes decisions in medicine and criminal justice. Transparency of models is a key aspect affecting trust. This paper reveals that there is new technology to build transparent machine-learning models that are often as accurate as black-box machine-learning models. These methods have already had an impact in medicine and criminal justice. This work calls into question the overall need for black-box models in these applications. Copyright:
Full Text
Duke Authors
Cited Authors
- Rudin, C; Ustunb, B
Published Date
- September 1, 2018
Published In
Volume / Issue
- 48 / 5
Start / End Page
- 449 - 466
Electronic International Standard Serial Number (EISSN)
- 1526-551X
International Standard Serial Number (ISSN)
- 0092-2102
Digital Object Identifier (DOI)
- 10.1287/inte.2018.0957
Citation Source
- Scopus