Video by FINOS via YouTube
Mark Paulsen (Technical Project Manager at FINOS) explores Toronto’s legacy as the birthplace of deep learning and its impact on modern financial AI. He discusses why financial institutions must "default to open" and collaborate on the core technologies—open science and open source—that define the industry’s future.
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🕒 Timestamps:
0:00 Welcome to Toronto: The Right Place and Time
0:55 Toronto: The Birthplace of Deep Learning
1:40 How Open Source Spreads AI Innovation
2:15 An Auditor’s Perspective: AI Sanity Checks
2:55 Three Calls to Action for 2026
3:05 Call 1: Remember Your Legacy
3:20 Call 2: Default to Open
3:35 Call 3: Collaborate on the Core
📊 The Problem: The Direction of "Black Box" AI As AI becomes ubiquitous, there is a risk of losing track of where these technologies originated. For financial institutions, adopting AI without understanding its "open science" roots leads to a lack of transparency and a dependency on proprietary systems that are difficult to audit or verify.
🏗️ The Solution: The Toronto-Open Source Connection
Mark argues that the industry must reclaim its role as a steward of innovation by following the "Open Science" model that started in Toronto:
* Respect the Legacy: Acknowledge that the foundations of modern AI (Deep Learning) were built in Toronto’s classrooms and labs and shared via open science.
* Default to Open: Shift the institutional mindset to prioritize open source as the primary way to solve shared industry challenges.
* Collaborate on the Core: Following industry leaders, banks should mutualize the "core" of their technology stack to accelerate the rollout of responsible AI.
The takeaway: You are in the right place at the right time. Mark Paulsen proves that by defaulting to open and collaborating on the core, Toronto’s financial community can lead the next wave of AI innovation.
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