| Tuesday, May 13, 2025,
15:00-16:00 |
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The
Health AI and Data Science (HAD)
Program presents
Machine Learning and AI Implementation in Research Institutions
| Speaker:
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Darryl Kingston and Matthew da Mota
Darryl Kingston is the Executive Director of the Digital Governance Standards Institute (DGSI), formerly the CIO Strategy Council. He joined the CIO Strategy Council as Senior Director of Standards and Technology on July 4th, 2022. In this role, he leads a broad portfolio of projects creating the conditions for the development of responsible, trustworthy, and sustainable digital technology standards in Canada.
Prior to joining the CIO Strategy Council, Darryl was with the Health Standards Organization (HSO) as Director of Standards and Evidence Development. In his role he had oversight of standards development, including strategic oversight, quality management, risk management and production. While at HSO the team led the development of a number of pivotal standards has changed the way care is received for patients and families, among these include palliative care, integrated health systems, long term care services, and governance and leadership of health care and social service organizations.
Prior to joining HSO Darryl was with the Standards Council of Canada where he held a number of different positions beginning in 1998. The last position held at SCC was Director of Global Standards where Darryl was responsible for the strategic oversight of the Canadian Standards Development Program, the International Standards Development Program and the SCC Member Program.
Darryl has participated in ISO meetings as a Canadian delegate since 2004 and has spoken at various international workshops and conferences on the benefits of standardization and promoting stakeholder participation in the standards development process. Darryl is a graduate of the University of Ottawa and was the recipient of the 2010 Joe McMahon Memorial Dedicated Service Award for outstanding service and contribution to the Canadian standards system.
Matthew da Mota is a senior research associate and program manager for the Global AI Risks Initiative at CIGI, working to develop governance models to address the most significant global risks posed by AI and to realize the potential global benefits of AI in an equitable and sustainable way. He is particularly interested in how emerging technologies such as AI might shape information systems, ways of thinking and institutions over time and what kinds of collaborative research and governance models can address these challenges.
During his post-doc fellowship at CIGI’s Digital Policy Hub, Matthew focused on AI policy and implementation in research and higher education, spanning institutional policies, governance standards, content and tool licences, and data governance frameworks. He continues to lead governance in the sector as chair of the expert drafting committee for a national governance standard for machine learning and AI implementation in research institutions with the DGSI.
Matthew holds a Ph.D. from the University of Toronto Centre for Comparative Literature.
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| Location:
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Online via Zoom.
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Learning Objectives:
- How AI is being used in Canadian research institutions
- The importance of establishing requirements to govern AI use in Canadian research institutions
- Brief introduction to Canada''s standards system
- How you can contribute to this new National Standard of Canada
Registration is required:
https://us02web.zoom.us/webinar/register/4717467151798/WN_an2ezgFVSze2vjeVZOcYBQ
The CAN/DGSI 128: Machine Learning and AI Implementation in Research Institutions standard is currently available for public review. You can view the draft here: https://dgc-cgn.org/product/can-dgsi-128/. We recommend reading it ahead of the seminar to help you get the most out of the discussion.
NOTE: If you would like to be added to the seminar mailing list, please email had_ai@ohri.ca. If you would like to be added to the HAD - Health AI and Data Science group on MS Teams, please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.
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