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LIVE, VIRTUAL WEBINAR

AI Governance: What Does Good Look Like in Practice?

As artificial intelligence (AI) tools increasingly become embedded in business activities and workflows, firms need to ensure that their governance frameworks keep up. But what does effective governance look like in the context of AI?

Join us for a webinar on the key AI governance issues facing financial services firms and the regulatory expectations now emerging.

Date: Wednesday 25 November 
Time: 3:00 - 3:45 pm
Delivery: Virtual, Zoom
Presenter: Nigel Sydenham

Overview

In this webinar, Nigel Sydenham considers the key components of an effective AI governance framework. Drawing on established risk management models and regulatory guidance, he will cover:

  • Whether AI governance is business as usual or calls for a different approach
  • What regulators expect, and the significance of autonomy
  • The practical challenges firms face, and some possible solutions

Who should attend?

This webinar is designed for anyone with an interest in effective AI governance, in particular Senior Managers and Board members, Heads of Compliance, Risk Managers and Internal Auditors.

Why should you attend?

By the end of this webinar, participants will be able to explain the key elements of an effective AI governance framework and identify the practical challenges in the context of their firm.

Speaker bio

Nigel specialises in training boards, senior executives and other staff on the impact of regulation and regulatory change.

He is a CFA Charterholder and Chartered Fellow of the CISI, with over 15 years’ industry experience.

With a background in compliance in private banking and wealth management, Nigel has a particular interest in effective corporate governance and the management of compliance and regulatory risk. His interests also include issues relating to ESG and climate risk, conduct and culture (including non-financial misconduct), and all aspects of financial crime prevention, as well as the impact of fintech on compliance and regulation.

 

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Phone: +971 4 427 2151
Email: info@cclacademy.com

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