Fall Virtual School on Ethics, Societal Impacts and Regulation of AI in Health
A two-day virtual training session designed to provide non-specialists with a detailed overview of the various ethical and regulatory issues associated with the analysis and use of health data, when supported by artificial intelligence approaches.
Date
- 22 September 2022
- 23 September 2022
Time
08h00 to 16h00 08h00 to 16h00
Location
En ligne
Cost
Gratuit
Offered in French, over two days, the Fall Virtual School on Ethics, Societal Impacts and Regulation of AI in Health aims to provide a detailed portrait of the various ethical issues associated with the analysis and valorization of health data when supported by artificial intelligence (AI) approaches.
The ethical and legal issues related to the use of data and artificial intelligence systems in the health sector will be reviewed, as well as the risks and issues related to the adoption of these systems, and the existing tools and frameworks supporting them.
Who should attend?
This training is accessible to any individual interested and concerned by the use of data and artificial intelligence systems in the field of health, nutrition or biomedical sciences, whether in research (students, researchers, professionals), in practice (professionals, practitioners) or in the administrative apparatus (managers).
What topics will be covered?
- Introduction to basic concepts in ethics
- Formalization and institutionalization of ethics in artificial intelligence
- Presentation of ethical charters in AI and the Ethics By Design approach
- Inventory of ethical tools adapted to the health domain
- Responsible implementation of AI in healthcare organizations
- A look at the main ethical issues in artificial intelligence
- Overview of the main legal issues in healthcare
Additional notes
Non-credit course.
Certificate of attendance available upon request.
The training will be presented live, in French, on the Zoom telepresence platform.
Detailed schedule and presentation of courses coming soon.
Reserve your place!
Who will be the school's trainers?
Sylvain Auclair, candidat au doctorat en philosophie, Université Laval
Luc Bégin, professeur, Faculté de philosophie, Université Laval
Pierre-Luc Déziel, professeur, Faculté de droit, Université Laval
Karine Gentelet, professeure, Département des sciences sociales, UQO
Lyse Langlois, professeure, Faculté des sciences sociales, Université Laval
Joé T. Martineau, professeure, Département de management, HEC Montréal
Annie Passalacqua, candidate au doctorat en innovation, Polytechnique Montréal
Cécile Petitgand, conseillère spécialisée en accès aux données de santé
Catherine Régis, professeure, Faculté de droit, Université de Montréal
Bryn William-Jones, professeur, École de santé publique, Université de Montréal
This fall school is presented by the Intelligence and Data Institute (IID) of Laval University in collaboration with the Observatoire sur les impacts sociétaux de l’AI et du numérique (OBVIA), as part of the IID fall school cycle on the use of data and artificial intelligence in health.
The fall school cycle is organized by IID with the support of the Quebec Ministry of Economy and Innovation, through its NovaScience program.
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