"An interdisciplinary conceptual study of Artificial Intelligence (AI) for ..."

Gauthier Chassang et al. (2021)

> Home

Details and statistics

DOI: 10.3233/AIC-201523

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/aicom/ChassangTRSD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/aicom/ChassangTRSD21
Gauthier Chassang, Mogens Thomsen, Pierre Rumeau, Florence Sèdes, Alejandra Delfin:
An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices. AI Commun. 34(2): 121-146 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.