Members of the media may directly contact the following experts on this topic:
Jean-Philippe Thivierge (English and French)
Full Professor, School of Psychology, Faculty of Social Sciences.
Professor Thivierge can offer perspective about the plan surrounding the following themes:
- Protecting Canadians and democracy
- Empowering citizens
- Building sovereign AI infrastructure.
LAW & GOVERNANCE
Florian Martin Bariteau (English & French)
Full Professor, Faculty of Law – Common Law Section and Director of the AI + Society Initiative.
Professor Martin-Bariteau’s research focuses on technology law, ethics and policy, with a special interest in artificial intelligence, blockchain, quantum science and technologies cybersecurity, whistleblowers and intellectual property. He is the co-author of a recent global policy brief offering policymakers actionable insights to successfully integrate AI into government functions.
“For the first time, the federal government proposes in the “AI for All” strategy a whole-of-government and whole-of-challenges approach – not just on research and innovation – as Canadians have call on the government to do for so many years. To stay a lead, Canada needs to look beyond the pure technological aspects and invest in societal concerns and readiness. Without trust there is no adoption; and trust requires proper accountability and governance frameworks for AI systems and developers. While light on the actual policy proposals, the strategy provides a clear signal that proper governance, regulation and accountability is part of Canada’s new approach to AI. This can only be welcomed.”
Vanessa Gruben (English and French)
Full Professor, Faculty of Law – Common Law Section.
Professor Gruben’s research focuses on contemporary legal and ethical issues related to health care, including assisted reproduction, harm reduction, organ donation and transplantation, and health care professional self-regulation.
HEALTHCARE
Kumanan Wilson (English only)
Professor, Department of Medicine, Faculty of Medicine, and Chief Executive Officer/Chief Scientific Officer, Bruyère Research Institute.
Dr. Wilson's research focuses on digital health, immunization, pandemic preparedness and public health policy and innovation. He is a co-lead of HALO – Health AI and Law in Ottawa that unites expertise in health AI, data and law from uOttawa’s faculties, research institutes and specialized centres, bringing together the university’s world leading experts in health data, law and policy to support the efforts of governments and industry.
Ivy Bourgeault (English only)
Full Professor, School of Sociological and Anthropological Studies, Faculty of Social Sciences.
Professor Bourgeault’s research touches on health policy and the areas of mental health, population health, and general health.
INFRASTRUCTURE
Hossein Bonakdari (English and French)
Associate Professor, Department of Civil Engineering, Faculty of Engineering.
Professor Bonakdari’s research focuses on climate change resilient infrastructures, water resources infrastructure operation, and sustainable water resources management.
"Canada's six-pillar AI strategy offers an opportunity to examine whether the country can translate its early AI leadership into lasting technological, economic, and geopolitical influence, or whether it risks becoming dependent on infrastructure and AI systems controlled elsewhere. "
ROBOTICS & ENGINEERING
Jason Millar (English only)
Associate Professor, School of Electrical Engineering and Computer Science, Faculty of Engineering; Canada Research Chair in Ethical Engineering of Artificial Intelligence and Robotics; and Director, Canadian Robotics and Artificial Intelligence Ethical Design Lab.
Dr. Jason Millar researches the ethical engineering of robotics and artificial intelligence (AI), focusing on empowering engineers to integrate ethical thinking into their daily engineering workflow.
EDUCATION
Emmanuel Duplàa (English and French)
Full Professor, Faculty of Education.
Professor Duplàa’s research focuses on information and communication technology for learning, including on educational video games, digital literacies and design processes in e-learning.
“Developing generative AI for public service should be like a central bank, but for data. In other words, the training of neural networks and the associated algorithms must be open and public, with independent assurance regarding data protection. We need to train everyone in coding, algorithmic thinking, and mathematics because most of the disconnected discourse stems from a lack of mathematical and computer science literacy. This requires engineering education, science education in schools.”
Jéremie Séror (English and French)
Research Chair in Technology-Mediated Language Learning and Artificial Intelligence, and Full Professor, Official Languages and Bilingualism Institute.
Professor Séror’s research touches on technology-mediated language learning, digital literacy, and the educational applications of AI. He is particularly interested in how generative AI transforms language teaching and learning, the development of AI literacy among teachers and students, and the ethical, pedagogical, and institutional challenges associated with integrating these tools into educational settings.