Renjie Butalid is a senior technology and policy executive with deep expertise at the intersection of emerging technologies, financial innovation, and public interest.
He is the Co-Founder and Director of the Montreal AI Ethics Institute (MAIEI), a global non-profit advancing AI ethics literacy and civic competence. Under his leadership, MAIEI’s AI Ethics Brief newsletter has grown to over 15,000 subscribers, and the organization has joined leading initiatives including the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST, Partnership on AI, and the AI Alliance.
Renjie also serves as Vice President of Business Development at Metrika, the leading SaaS platform for real-time, dynamic risk management and compliance in digital assets and blockchain. Metrika transforms fragmented, manual risk processes into structured, automated frameworks and key risk indicators tailored for digital assets, stablecoins, and real-world assets (RWAs). He leads global business development and strategic partnerships, working closely with G-SIBs, asset issuers, asset managers, credit rating agencies, and regulatory bodies to strengthen risk management and compliance across digital asset markets.
Previously, Renjie led the expansion of McGill University’s Dobson Centre for Entrepreneurship, where he secured $8 million in funding and helped achieve a Top 10 global ranking in UBI Global’s Business Incubators and Accelerators.
Renjie has been named a Top 40 Under 40 by the Waterloo Region Record. He is a member of the Banff Forum in Canada and an alumni of the World Economic Forum’s Global Shapers.
Renjie holds a BA in Economics from the University of Waterloo and an MA in International Relations from Corvinus University of Budapest.
Roundtable Room 2 (Level 2)
Open
The EU AI Act with its pioneering risk-based approach, sets a precedent for regulating AI by categorising applications based on their potential risks to individuals and society. By establishing clear guidelines for high-risk AI systems whilst imposing outright bans on some risks like social scoring, the Act seeks to balance ethics with AI development. However, stringent regulations risk presents some trade-offs, like having high compliance burdens for SMEs and startups, which can stifle innovation, pushing talent and investment to more business-friendly AI regions, and limiting Europe’s AI leadership.
1. Navigating the EU AI Act: How can regulators ensure the EU remains an AI leader while implementing risk-tiered regulations that prevent harm without stifling technological progress?
2. Competitiveness vs Overregulation: With global AI competition intensifying, what policy strategies can ensure that AI startups and enterprises thrive without unnecessary compliance burdens?
3. Ethical AI as a competitive advantage: Can responsible AI practices become a strategic differentiator for European companies, positioning them as global leaders in trustworthy, human-centric AI deployment?