I’m committed to taking a broad interdisciplinary perspective on AI safety that incorporates social sciences, humanities, and technical research into the harms and risks of AI systems.
Since 2022, I have worked in AI research administration & policy at CIFAR, first as Program Officer, Pan-Canadian Strategy, where I supported a range of our AI initiatives: grant programs, AI policy & diversity work, research chairs, and next-generation training programs.
Since the 2024 launch of the Canadian AI Safety Institute (CAISI), I’ve served as Program Manager, AI Safety at CIFAR, where I manage grant calls, research networks, and support the broad activities of the CAISI Research Program at CIFAR, the independent research engine of CAISI.
Before that, my academic research included investigations into the historical relationship between AI, psychology and society. Funded by the Association for Computing Machinery History Fellowship, I wrote about the ways that current concerns about fairness in AI are echoed in the history of computerized psychological testing for Annals of the History of Computing. A version of this paper was also published in the proceedings of ACM Conference on Fairness, Accountability and Transparency.
My piece, “From the Intuitive Human to the Intuitive Computer,” showed how concerns about outsourcing psychological and cognitive labour to machines sprang up alongside new computing technologies.
I spoke to the Globe & Mail about the use of AI-assisted hiring technology.
