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A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts.
Katsanis, Sara H; Claes, Peter; Doerr, Megan; Cook-Deegan, Robert; Tenenbaum, Jessica D; Evans, Barbara J; Lee, Myoung Keun; Anderton, Joel; Weinberg, Seth M; Wagner, Jennifer K.
Afiliação
  • Katsanis SH; Mary Ann & J. Milburn Smith Child Health Outcomes, Research and Evaluation Center, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, United States of America.
  • Claes P; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
  • Doerr M; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium.
  • Cook-Deegan R; Medical Imaging Research Center, MIRC, KU Leuven, Leuven, Belgium.
  • Tenenbaum JD; Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Evans BJ; Sage Bionetworks, Seattle, Washington, United States of America.
  • Lee MK; School for the Future of Innovation in Society, Arizona State University, Washington, District of Columbia, United States of America.
  • Anderton J; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, United States of America.
  • Weinberg SM; Levin College of Law, University of Florida, Gainesville, Florida, United States of America.
  • Wagner JK; Wertheim College of Engineering, University of Florida, Gainesville, Florida, United States of America.
PLoS One ; 16(10): e0257923, 2021.
Article em En | MEDLINE | ID: mdl-34648520
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Opinião Pública / Atenção à Saúde / Disseminação de Informação / Pesquisa Biomédica / Reconhecimento Facial / Gerenciamento de Dados / Reconhecimento Facial Automatizado Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Opinião Pública / Atenção à Saúde / Disseminação de Informação / Pesquisa Biomédica / Reconhecimento Facial / Gerenciamento de Dados / Reconhecimento Facial Automatizado Idioma: En Ano de publicação: 2021 Tipo de documento: Article