Vulnerability of female drivers involved in motor vehicle crashes: an analysis of US population at risk.

By D. Bose, M. Segui-Gomez, J. Crandall. 2011

195 citations recorded by the source corpus.

Subfields: Physical Therapy, Sports Therapy and Rehabilitation, Pulmonary and Respiratory Medicine, Safety, Risk, Reliability and Quality, Medical & Health AI, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Medical & Health AI

1. Timnit Gebru

In Social Sciences & Humanities

1. Jamie H. Morgenstern
2. Hal Daumé Iii
3. Hanna M. Wallach
4. Timnit Gebru
5. Jennifer Wortman Vaughan

Citations in the corpus

• Datasheets for datasets (2018, positive): “This practice led to problems similar to the “biased dataset” problems currently faced by the machine learning community: almost all crash-test dummies were designed with prototypical male physiology; only in 2011 did US safety standards require frontal crash tests with “female” crash-test dummies (”