Parallel Minds - Artificial Intelligence vs Human Intelligence

​Learn about the similarities and differences between humans and machines. Foster better human-machine partnerships and engage smarter with AI.

​What do human intelligence and artificial intelligence have in common? This session explores AI through the lens of neuroscience, drawing parallels between how the brain processes information and how intelligent systems are built.

​Human and machine intelligence have similar processing architectures and decision-making strategies. However, we also have key distinctions. Now more than ever, we are in an interconnected loop where we interact and learn from one another. How can we design better human-machine partnerships?

​Topics

• ​Processing architectures: human vs. machine

• ​Predictability: human vs. machine

• ​Exploration, exploitation, and empowerment strategies

• ​Large Language Models vs. Traditional Machine Learning

• ​Building practical human-machine partnerships

​Who it’s for

​A curated, interdisciplinary group of leaders and practitioners working with data, AI, and product. Designed for those looking to broaden their perspective and actively engage in the discussion.

​Speaker

​I am a Computational Neuroscientist and AI Researcher with 10+ years bridging brain science and machine learning. My background spans science communication, industry R&D, and open science. I'm currently a PhD candidate at McGill's Centre for Integrative Neuroscience with Alan Evans, where I focus on forecasting brain states and translating research into real-world impact.

​McGill

​As a world-renowned centre for neuroscience and artificial intelligence, McGill is globally recognized as a leader in both fields, actively advancing their frontiers.

​Event Series

​This session is part of the event series "Brains & Algorithms".