AI and risk management

  • 4 days
  • Transformation & technology
View Agenda

Key reasons to attend 

  • Learn the requirements of explainable AI models from a regulatory perspective

  • Understand the implication of AI on MRM and its processes 

  • Identify best practices for mitigating fraud and AML using AI

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Customised Solutions

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About the course

Join us for a 4-day interactive course, led by subject matter experts, to get a deeper understanding of topics such as AI model explainability, interpretability and bias. 

With the fast-paced nature of AI, attending this course allows attendees to develop a stronger understanding of how AI is changing the face of traditional banking supported by practical uses of AI such as managing financial crime and impact on operational risk.  

This course will guide attendees in understanding best practices for implementation of AI into their financial institution, providing insight into the tools needed to better identify the risks associated with AI and to help mitigate setbacks from immature use of AI.  

Learning objectives

  • Learn to comply with regulations regarding AI

  • Differentiate between explainability and interpretability  

  • Manage risks associated with bias and fairness  

  • Identify key ethics indicators  

  • Utilize model validation tools  

  • Assess the quality and maturity of AI systems

Who should attend

Relevant departments may include but are not limited to: 

  • AI/ML

  • Risk management

  • Model validation

  • Data science

  • Operational risk

  • Digital innovation

Agenda

November 28 - December 1, 2022

Time zones: EMEA / Americas
Start time: 14.00 GMT / 9.00 EST
Finish time: 16.15 GMT / 11.15 EST

Sessions:

  • AI basics and governance

  • Interpretability and explainability

  • AI ethics and conduct

  • Model risk management for AI

  • Fraud and AML: managing financial crime with AI solutions

  • Quality and maturity in AI

  • AI implementation roadmap

  • Forward looking trends for AI

view detailed agenda

Tutors

  • Agus Sudjianto, Head of Corporate Model Risk at Wells Fargo
  • Dr Daniel Mayenberger, Corporate & investment bank, JP Morgan
  • Vishal Gossain, Practice leader, EY
  • Søren Mørk, Director - head of AI risk, EY 
  • Ben Steiner, General manager, causaLens

Pre-reading materials

The Risk.net resources below have been selected to enhance your learning experience:

To access some of the above articles you need to have a current subscription to Risk.net. If you don’t have one now, please subscribe to a free trial

Registration

November 28 - December 1, 2022

02:00 pm - 04:15 pm

Virtual

Price

$1,999

Earlybird Price

$1,799
Book now

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  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
  • Season tickets options
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