Bio
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.