My research is qualitative and interdisciplinary. I combine theories and methods from social sciences, humanities, management, and engineering to produce actionable insights.
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Research Areas
Queering / Transing AI Governance
Queer & trans communities have thought about and practiced governance long before the advent of AI. This research area applies queer/trans theory and collective organizing practices to imagine new possibilities for AI governance.
Featured project: AI Countergovernance
All outputs:
- Workshop slides: “AI Ethics & Trans Resistance” (2024)
- Keynote slides: “Rethinking AI governance: Justice, sustainability, & the future of AI” (2024)
- Essay: “AI countergovernance” (2023)
- Essay: “Artificial intelligence in the interregnum” (2023)
- Conference slides: “The ontological crisis in AI: Normative positions, interpretive frames, & future directions” (2023)
- Book chapter: “Queering intelligence: A theory of intelligence as performance and a critique of individual and artificial intelligence” (2023)
- Conference slides: “The new ontologies of AI: A dilemma for AI governance” (2022)
- Conference slides: “Intelligence as performance” (2021)
The Governance of AI in Canada
As the first country to launch a national AI strategy in 2017, Canada has a well-developed AI governance landscape. This research area analyzes a wide range of Canadian AI governance initiatives at national, subnational, and organizational scales.
Featured article: AI Governance Systems
All outputs:
- Research paper: “AI governance systems: A multi‑scale analysis framework, empirical findings, and future directions” (2024)
- Research report: “Perceptions of Canada’s AI governance system: Findings from interviews with 20 government leaders & subject matter experts” (2024)
- Research paper: “The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives” (2024)
- Lecture slides: “The governance of AI systems” (2023)
- Brief: “Comments on Guide on the use of Generative AI” (2023)
- Brief: “Comments on Canadian Guardrails for Generative AI – Code of Practice” (2023)
- Brief: “Generative AI systems: Impacts on artists & creators and related gaps in the Artificial Intelligence and Data Act” (2023)
- Conference slides: “AI Governance and Worker Protections in Canada” (2022)
- Brief: “Comments on the 3rd Review of the Directive on Automated Decision-making” (2022)
- Essay: “Public service, public-as-a-service, and public self-service: The case of Sidewalk Toronto” (2022)
- Opinion article in The Globe and Mail: “Once a promising leader, Canada’s artificial-intelligence strategy is now a fragmented laggard” (2022)
- Research paper: “Emerging national artificial intelligence innovation systems in Canada and China” (2020)
- Conference poster & conference abstract: “AI governance systems: Ontological explorations in the Canadian context” (2020)
AI Value Chains
The development, use, and governance of AI systems involves many types of resource inputs and outputs that are distributed across global value chains. This research area investigates the ethics and governance of those value chains.
Featured talk: The AI Governance Value Chain
All outputs:
- Workshop slides: “The AI governance value chain: Challenges for distributive justice & policy” (2024)
- Research paper & research summary: “The ethics of AI value chains” (2023, updated 2024)
- Research paper: “Valuing value chains: On Canadian AI regulation, co-governance, and the scope of AI value chains” (2023)
- Seminar slides: “The ethics of AI value chains: Implications for policy & practice” (2022)
- Research paper & research summary: “The ethics of AI business practices: A review of 47 AI ethics guidelines” (2022)
Service Systems Analysis Framework
Years: 2016-2019
Research Questions:
- What theories and methods of service system analysis have been discussed in the recent literature?
- How might existing analysis frameworks be synthesized, improved, and applied to solving system design problems?
Activities:
- Systematic review and synthesis of literature on service science, engineering, management, and design.
- Development of a multilayer framework for service system analysis.
- Application of the service system analysis framework to a specific business case.
Outputs:
- Book chapter: “A multilayer framework for service systems analysis.” (2019)
- Research paper: “Service systems analysis methods: A systematic literature review.” (2017)
Collaborators:
- Kelly Lyons & Michael Cheng
Information Audit & Evaluation Framework
Years: 2016-2018
Research Questions:
- How might information auditing frameworks be synthesized with information management evaluation frameworks?
- What components would be required of a synthesized information auditing and evaluation framework, and how might such a framework be applied in practice?
Activities:
- Systematic review and synthesis of literature on information auditing and information management evaluation.
- Development of a synthesized framework for information auditing and evaluation.
- Application of the information auditing and evaluation framework to projects at the Legislative Assembly of Ontario, University of Toronto, and Toronto Metropolitan University.
Outputs:
- Research paper: “Revisiting the information audit: A systematic literature review and synthesis” (2017)
- Research paper: “iVal: An information evaluation framework for knowledge workers” (2016)
Collaborators:
- Chun Wei Choo on “Revisiting the information audit: A systematic literature review and synthesis”
Workforce Services Design & Evaluation
Years: 2018-2019
Research Questions:
- What are the best practices for service design in Ontario’s employment services & training sector?
- How can the services delivered by Ontario’s employment services & training sector be improved?
Outputs:
- Research report: “Employment Sector Council’s Common Assessment Process: A case study of a collaborative community approach to service delivery, access, and excellence.” (2018)
- Research report: “Intergenerational healing and growth: A case study of the Aboriginal Skills Advancement Program.” (2018)
Collaborators:
- Cayley Bower on “Employment Sector Council’s Common Assessment Process”
- S. Kathleen Bailey on “Intergenerational healing and growth”
Last updated November 20, 2024