Event

AI Governance Across Sectors: Implications for Risk Management

May 20, 2026 | 11:30 AM - 1:30 PM | Main Floor Lounge, 10130 103 St NW, Edmonton, AB T5J 1Y7, Canada | In-Person

Details

May 20, 2026
11:30 AM - 1:30 PM

In-Person


10130 103 St NW, Edmonton, AB T5J 1Y7, Canada

Contact

Questions can be directed to GARP Events at events@garp.com.

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Overview

Please join us for this GARP event in Edmonton, where we will explore how artificial intelligence is reshaping risk management, governance, and decision-making across industries. Drawing on cross-sector experience, the session will examine how organizations design and implement AI governance frameworks, what the financial sector does well, and where important gaps remain.

The discussion will focus on:

  • Key challenges in AI governance and accountability
  • Lessons from cross-sector approaches to AI oversight
  • Implications for risk management and decision-making
  • Practical considerations for implementing AI governance frameworks
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Topics: Data & AI Model Governance

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Expert in Quantitative Finance and Machine Learning

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Rudabeh Meskarian is a Staff Data Scientist at Grafana Labs, where she leads the development of forecasting and decision-making frameworks that shape financial and go-to-market strategy. With over a decade of experience deploying AI across investment, finance, healthcare, and public policy in the UK and Canada, she brings a cross-sector perspective to questions of model risk and AI governance. Her work is centered on a consistent challenge: ensuring that AI systems perform reliably not just in controlled settings, but in complex, high-stakes environments where the cost of getting it wrong is significant.

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Speakers

Rudabeh Meskarian

Rudabeh Meskarian

Expert in Quantitative Finance and Machine Learning
Rudabeh Meskarian

Rudabeh Meskarian

Expert in Quantitative Finance and Machine Learning

Rudabeh Meskarian is a Staff Data Scientist at Grafana Labs, where she leads the development of forecasting and decision-making frameworks that shape financial and go-to-market strategy. With over a decade of experience deploying AI across investment, finance, healthcare, and public policy in the UK and Canada, she brings a cross-sector perspective to questions of model risk and AI governance. Her work is centered on a consistent challenge: ensuring that AI systems perform reliably not just in controlled settings, but in complex, high-stakes environments where the cost of getting it wrong is significant.

Agenda/Schedule

*Date and Time noted as

    May 20, 2026

    • 11:30 a.m.-12:00 p.m. Registration
    • 12:00–12:05 p.m. Welcome remarks and introduction
    • 12:05–12:35 p.m. Keynote presentation
    • 12:35–12:50 p.m. Audience Q&A
    • 12:50–1:00 p.m. Information about GARP
    • 1:00–1:30 p.m. Networking. Pizza and beverages will be provided.

    Speakers

    Rudabeh Meskarian, Expert in Quantitative Finance and Machine Learning

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