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AI Governance & Risk Management 

February 11 @ 2:00 pm 3:00 pm London

Navigating Challenges & Seizing Opportunities In Financial Services
Artificial Intelligence (AI) is transforming the financial services industry, driving innovation, operational efficiency, and customer engagement. However, the adoption of AI introduces significant governance and risk management challenges that must be addressed to ensure compliance, mitigate risks, and foster trust. As financial institutions increasingly rely on AI to make critical decisions, robust AI governance and risk management practices become essential.
 
Join us for this insightful webinar, where internationally recognized GRC expert Michael Rasmussen will share actionable guidance on setting up AI governance frameworks and managing the associated risks. Leveraging globally recognized AI governance principles and the latest regulatory guidance from financial services regulators, this session will explore:

  • The Role of Technology: Exploring how technology and tools can support AI governance, from monitoring AI performance and detecting bias to automating compliance with regulatory requirements.
  • Key Drivers of AI Adoption and Risk: Understanding the opportunities and risks posed by AI in financial services, including ethical concerns, data privacy, model bias, and operational resilience.
  • Global AI Frameworks and Regulations: A comprehensive overview of the evolving regulatory landscape, including the EU AI Act, UK Financial Conduct Authority (FCA) guidelines, U.S. Federal Trade Commission (FTC) expectations, and other global standards impacting AI governance in financial services.
  • Establishing AI Governance: Practical steps to build and implement an AI governance framework tailored to financial institutions, aligning with standards, and integrating with existing risk and compliance processes.
  • Managing AI Risks: Proven strategies for identifying, assessing, and mitigating AI risks, including third-party risks, model governance, and algorithmic accountability.

Why Attend:

  • Gain insights into global regulatory expectations for AI in financial services.
  • Learn how to integrate AI governance into your organization’s broader GRC strategy.
  • Understand the tools and technologies available to support AI governance and risk management.
  • Hear real-world examples and best practices from leading experts in the field.

Don’t miss this opportunity to explore the intersection of AI, governance, and risk management and position your organization for success in the AI-powered future of financial services.

Webinar Logistics:

  • Date: 11th February 2025
  • Time: 2PM to 3PM (UK Time)
  • Format: Online (Microsoft Teams)
  • Cost: Free (Registration Required)

GRC 20/20 Speaker

Michael Rasmussen

Michael Rasmussen is an internationally recognized pundit on governance, risk management, and compliance (GRC) – with specific expertise on enterprise GRC strategy and processes supported by robust information and technology architectures.  With 30+ years of experience, Michael helps organizations improve GRC strategy and processes supported by the correct GRC technology architecture. This enables organizations to align GRC with the business and deliver effective, efficient, resilient, and agile capabilities to the organization.  He is a sought-after keynote speaker, author, and advisor and is noted as the “Father of GRC” — the first to define and model the GRC market in February 2002 while at Forrester.

Webinar Host

RiskSpotlight is an industry leader in emerging risk management solutions, helping organisations worldwide across all lines of defence to anticipate, assess, and mitigate the evolving risks that shape today’s global business environment. Since its inception in 2012 RiskSpotlight have always strived to provide innovative and cost-effective solutions to risk management professionals within financial services. Its founders Simon Wilkins and Manoj Kulwal are at the forefront of driving the effective use of Generative AI in the risk management space to optimise quantity, quality and consistency of output from risk teams.

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