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Titel:

A scientometric analysis of fairness in health AI literature.

Dokumenttyp:
Journal Article
Autor(en):
Alberto, Isabelle Rose I; Alberto, Nicole Rose I; Altinel, Yuksel; Blacker, Sarah; Binotti, William Warr; Celi, Leo Anthony; Chua, Tiffany; Fiske, Amelia; Griffin, Molly; Karaca, Gulce; Mokolo, Nkiruka; Naawu, David Kojo N; Patscheider, Jonathan; Petushkov, Anton; Quion, Justin Michael; Senteio, Charles; Taisbak, Simon; Tırnova, İsmail; Tokashiki, Harumi; Velasquez, Adrian; Yaghy, Antonio; Yap, Keagan
Abstract:
Artificial intelligence (AI) and machine learning are central components of today's medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and...     »
Zeitschriftentitel:
PLOS Glob Public Health
Jahr:
2024
Band / Volume:
4
Heft / Issue:
1
Volltext / DOI:
doi:10.1371/journal.pgph.0002513
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38241250
TUM Einrichtung:
Institut für Geschichte und Ethik der Medizin (Prof. Buyx)
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