Cargando…
Enhancing trust in AI through industry self-governance
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solutions to effectively address current health challenges. However, there have been prior periods of enthusiasm for AI followed by periods of disillusionm...
Autores principales: | Roski, Joachim, Maier, Ezekiel J, Vigilante, Kevin, Kane, Elizabeth A, Matheny, Michael E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8661431/ https://www.ncbi.nlm.nih.gov/pubmed/33895824 http://dx.doi.org/10.1093/jamia/ocab065 |
Ejemplares similares
-
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
por: Tomsett, Richard, et al.
Publicado: (2020) -
Committing to Place: The Potential of Open Collaborations for Trusted Environmental Governance
por: Waterton, Claire, et al.
Publicado: (2015) -
Erosion of Trust in the Medical Profession in India: Time for Doctors to Act
por: Kane, Sumit, et al.
Publicado: (2016) -
Operationalising AI governance through ethics-based auditing: an industry case study
por: Mökander, Jakob, et al.
Publicado: (2022) -
Catalyzing next-generation Artificial Intelligence through NeuroAI
por: Zador, Anthony, et al.
Publicado: (2023)