Events

Dr. Caroline Running Wolf draws on the historical introduction of the horse to Indigenous communities as a powerful metaphor for the future of artificial intelligence. This talk offers a compelling perspective on AI governance, cultural preservation, and the importance of community-led innovation. 

Dr. Jennifer Boger challenges us to consider a population that AI often overlooks: older adults. Through practical examples and candid discussion, Jennifer will highlight why inclusive design is no longer optional but essential as AI becomes increasingly embedded in our daily lives. 

How should we study something like "AI"—a subject of social and capital investment that rests more on speculative promises than given technologies or use cases? Drawing on political economic analyses of the tech sector, as well as a broader set of speculative fabulation practices by fellow data centre scholars, the talk will place AI in the past tense in order to assess both what it was and what it can become.

Associate Research Officer Terry Stewart explores why brains are far more energy-efficient than AI systems, highlighting differences in how they process information. It examines how brain-inspired algorithms and neuromorphic hardware could make AI more efficient by mimicking how the brain represents time and space.