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Operationalizing Responsible AI & Regulatory Compliance for Finance
You have the AI models. Do you have the license to operate?
As Generative AI moves from sandbox to production, financial institutions face a critical challenge: proving to regulators (OSFI, NIST, EU AI Act) that their AI is safe, fair, and compliant.
Join the FINOS AI Governance community for a dual-track session: an exclusive preview of the new AIGF Leader Training curriculum, followed by a hands-on workshop to co-create the industry standard for AI Reference Architectures and Evaluation Frameworks.
Designed for risk, compliance, legal, model governance, technology, and operations practitioners, this hands-on workshop introduces the FINOS AI Governance Framework (AIGF) as a practical standard for identifying, assessing, and mitigating AI risks in financial services.
Through real-world use cases across model development, deployment, monitoring, and regulatory reporting, participants will learn how to use the AIGF to strengthen controls, improve auditability, and align AI programs with emerging supervisory expectations. Combining concise overviews with guided exercises, the session equips business and technical attendees to embed the AIGF into existing governance processes, control frameworks, and open source strategies.
Agenda & Curriculum
Part 1: The AIGF Leader Training Preview (1 Hour)
- The "Dry-Run" Exclusive: Be the first to preview the new training content designed for AI Governance Leaders.
- Curriculum Deep Dive: We will cover what has changed in the landscape, the new training scope, key learning objectives, and the critical personas required to operationalize AI governance.
- Why it Matters: Understand exactly how to upskill your internal teams to meet new regulatory demands.
Part 2: FINOS AI Reference Architecture Library Workshop (1 Hour)
- Francesco Beltramini (Field CTO @ControlPlane) will facilitate a collaborative session to define the standard architectural patterns for safe AI deployment. The participants will work together to define how the Library intersects with AI Governance Framework and Common Architecture Language Model and discuss what a unification roadmap might look like.
Part 3: Beyond the Black Box: Operationalizing AgentOps and "Glass-Box" Evaluations for Financial AI (2 Hours)
- Vincent Caldeira (Field CTO @Red Hat) will provide a blueprint for bridging the "Trust Gap" by transitioning from traditional MLOps to AgentOps. He will unveil the ongoing work within the FINOS AI Evaluation & Benchmarking framework, demonstrating how to map real-world financial use cases to rigorous, quantitative evaluation metrics.
Who Should Apply?
This session is critical for the "Guardians" of the bank who are responsible for the safe deployment of AI:
- Heads of Model Risk Management (MRM): Who need to adapt existing validation frameworks for Generative AI.
- AI Ethics & Governance Leads: Who are defining the "Rules of the Road" for internal development.
- Chief Data Officers (CDO): Who need to ensure data lineage and provenance in AI training sets.
- Legal & Compliance Counsel: Who need to understand the technical realities of AI regulation.
What You Will Walk Away With:
- A Blueprint for Control: A clear understanding of how the AIGF maps to OSFI and international guidelines.
- Training Readiness: A preview of the curriculum you can use to train your own internal governance teams.
- Peer Benchmarking: See how other major financial institutions are structuring their AI Reference Architectures and Evaluation metrics.
Logistics & Application
- Date: Monday, April 13, 2026
- Time: 1:00 PM – 5:00 PM ET
- Location: Toronto Financial District (Venue details provided upon acceptance)
- Cost: Free for approved applicants (Standard Value: $1,500)
Note: Due to the hands-on nature of this session, seating is strictly limited to 30 participants. Priority will be given to individuals from FINOS Member financial institutions and regulated industries.
