Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Marie-Christine Roy

Biographic Data

ID8599678
NAMEMarie-Christine Roy
GIVEN NAMESMarie-Christine
FAMILY NAMERoy
SIGNATUREROY M
AFFILIATIONSUniversité de Montréal
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Ethical issues raised by artificial intelligence and big data in population health

    Open Access•Vincent Couture, Marie-Christine Roy et al.•ARTICLE•Frontiers in Sociology•2025

    Introduction: Artificial intelligence systems (AIS) powered by big data (BD) are more and more common in the healthcare sector and many anticipate that they will have a substantial effect on population health. Facing the disruptive potential of these transformations, there is a need to keep the pace with the ethical reflection accompanying the uses of AIS and the BD systems enabling such innovations. Methods: To carry out this task, we conducted …

  • Artificial intelligence ethics has a black box problem

    Open Access•Jean-Christophe Bélisle-Pipon, Erica Monteferrante et al.•ARTICLE•AI & Society•2023

  • Equality and Equity in Compensating Patient Engagement in Research

    Open Access•Jean-Christophe Bélisle-Pipon, Vincent Couture et al.•ARTICLE•Research Ethics•2022

    Engaging citizens and patients in research has become a truism in many fields of health research. It is now seen as a laudable—if not compulsory—activity in research for yielding more impactful and meaningful citizen/patient outcomes and steering research in the right direction. Although this research approach is increasingly common and commendable, we recently encountered a major obstacle in obtaining an ethics certificate from an institutional …

No prominent works on this page.

  • Equality and Equity in Compensating Patient Engagement in Research

    Open Access•Jean-Christophe Bélisle-Pipon, Vincent Couture et al.•ARTICLE•Research Ethics•2022

    Engaging citizens and patients in research has become a truism in many fields of health research. It is now seen as a laudable—if not compulsory—activity in research for yielding more impactful and meaningful citizen/patient outcomes and steering research in the right direction. Although this research approach is increasingly common and commendable, we recently encountered a major obstacle in obtaining an ethics certificate from an institutional …

  • Artificial intelligence ethics has a black box problem

    Open Access•Jean-Christophe Bélisle-Pipon, Erica Monteferrante et al.•ARTICLE•AI & Society•2023

  • Ethical issues raised by artificial intelligence and big data in population health

    Open Access•Vincent Couture, Marie-Christine Roy et al.•ARTICLE•Frontiers in Sociology•2025

    Introduction: Artificial intelligence systems (AIS) powered by big data (BD) are more and more common in the healthcare sector and many anticipate that they will have a substantial effect on population health. Facing the disruptive potential of these transformations, there is a need to keep the pace with the ethical reflection accompanying the uses of AIS and the BD systems enabling such innovations. Methods: To carry out this task, we conducted …

Law (2 works) · Normative (2 works) · Political science (2 works) · Public relations (2 works) · Artificial Intelligence in Healthcare (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big data (1 work) · Biomedical Ethics and Regulation (1 work) · Doctrine (1 work) · Engineering (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae