Cécile Petitgand
Big Data
Quality - Diversity - Interoperability
The source of efficient, secure and trustworthy AI
Artificial Intelligence
From expert systems to learning algorithms, challenges are plenty, solutions fascinate me!
Care and Society
All sectors and individuals are affected by digital transformation, let's keep them in!
Short Bio
Cécile Petitgand is the coordinator of the Data Access Task force set by the National Table of Research Directors of the Quebec Ministry of Health and Social Services (Canada).
She is a research associate at the University of Montreal Hospital Research Center, as well as Data Access advisor at the Quebec Research Fund for Healthcare and Associate Professor at the University of Montreal School of Public Health.
Cécile Petitgand holds a doctorate in Management from the University of Paris-Dauphine and the University of Sao Paulo (Brazil), and a master's degree in Economics from the Paris School of Economics. She did her post-doctorate at the Health Hub: Politics, Organizations and Law of the University of Montreal focusing on the issue of AI implementation in Canadian hospitals.
Cécile Petitgand is also a researcher for the International Observatory on the Societal Impacts of AI and Digital Technology (OBVIA) and the JusticIA legal research group of the University of Montreal. Her expertise relates in particular to the responsible development and implementation of AI systems in healthcare organizations.
Achievements
AI4HealthyCities: Global Dialogues on AI for Urban Health
Les enjeux et défis autour des données et leur usage en santé
Les enjeux et défis autour des données et leur usage en santé
Guide d'innovation responsable en santé
Guide d'innovation responsable en santé
Déploiement de l'IA en milieux clinique et organisationnel
Intelligence artificielle
et
Équité en santé
Défis de l'IA en santé
Implementation of IA in clinical settings
Moment of AI at Noon (MIAM) organized by the School of AI in Healthcare (EIAS) of University of Montreal Health Center (CHUM) – Autumn 2021
EIAS
CHUM
CHUM
Artificial Intelligence and Health Equity
Inernational webinaire in Brazilian Portuguese with experts from “Núcleo de Estudos sobre Bioética e Diplomacia em Saúde” of Oswaldo Cruz Fondation (Fiocruz) – Autumn 2021
Health
Brazil
Brazil
Challenges of AI in Healthcare
Podcast for AI CAFÉ (Université Laval Québec) on the potential and challenges of AI in our health and social services organizations – Fall 2020
IA CAFÉ
Digital Technology and AI at work
Optimizing human-machine collaboration:
- AI and healthcare: what collaboration between humans and algorithms?
- The transformation of care relationship with digital technology and AI
- Training and skills to be developed to integrate AI in healthcare responsibly
Techno
Education
Education
Expertises & skills
- Digital innovation in health: development, implementation, sustainability
- Responsible use of health data for research and continuous improvement
- Societal impacts of artificial intelligence and digital innovations
UBISOFT OBVIA
Artificial intelligence:
Coming to save healthcare systems?
Participation in the radio show “I vote for science” on Wednesday February 19, 2020 with Barbara Decelle (IVADO scientific advisor)
Support and Partnership
