Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue

In response to growing recognition of the social impacts of new artificial intelligence (AI)-based technologies, major AI and machine learning (ML) conferences and journals now encourage or require papers to include ethics impact statements and undergo ethics reviews. This move has sparked heated de...

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Detalles Bibliográficos
Autores principales: Greene, Travis, Dhurandhar, Amit, Shmueli, Galit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868655/
https://www.ncbi.nlm.nih.gov/pubmed/36699741
http://dx.doi.org/10.1016/j.patter.2022.100652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868655/
https://www.ncbi.nlm.nih.gov/pubmed/36699741
http://dx.doi.org/10.1016/j.patter.2022.100652

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