Training Artificial Intelligence on a Gender-Biased Virtual World can Result in Biased Conclusions.

Carlisle, Benjamin G; Coffman, Donna L; Egleston, Brian L; Salholz-Hillel, Maia

Carlisle, Benjamin G; Coffman, Donna L; Egleston, Brian L; Salholz-Hillel, Maia.

Afiliação

Carlisle BG; McGill University, Montreal, Canada. benjamin.carlisle@mcgill.ca.
Coffman DL; Department of Psychology, University of South Carolina, Columbia, USA.
Egleston BL; Biostatistics and Bioinformatics Facility, Fox Chase Cancer Center, Philadelphia, USA.
Salholz-Hillel M; QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.

Ann Surg Oncol ; 30(8): 5282-5283, 2023 08.

Article em En | MEDLINE | ID: mdl-37140747

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google