A scientometric analysis of fairness in health AI literature.

• Главные авторы: Isabelle Rose I Alberto (Автор), Nicole Rose I Alberto (Автор), Yuksel Altinel (Автор), Sarah Blacker (Автор), William Warr Binotti (Автор), Leo Anthony Celi (Автор), Tiffany Chua (Автор), Amelia Fiske (Автор), Molly Griffin (Автор), Gulce Karaca (Автор), Nkiruka Mokolo (Автор), David Kojo N Naawu (Автор), Jonathan Patscheider (Автор), Anton Petushkov (Автор), Justin Michael Quion (Автор), Charles Senteio (Автор), Simon Taisbak (Автор), İsmail Tırnova (Автор), Harumi Tokashiki (Автор), Adrian Velasquez (Автор), Antonio Yaghy (Автор), Keagan Yap (Автор)
• Формат: ‌
• Опубликовано: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Предметы: article
• Online-ссылка: Connect to this object online.

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 quest...