AI and Risk Management

Expand your knowledge on best practices for successful AI risk management with sessions focusing on regulation, data management, and ethical considerations

AI and Risk Management

June 27–30, 2022

Time zone: EMEA / APAC

Key reasons to attend 

  • Understand typical challenges when managing data for AI 

  • Apply best practices for mitigating fraud and AML using AI 

  • Identify potential priorities for AI moving forward and future development


View agenda

Customised learning

Does your team require a tailored learning solution on this or any other topic?

Working with the portfolio of expert tutors and’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final review. 

Find out how


Build on your knowledge of the application and impact of AI within financial risk management through this virtual 4-day interactive course.

Led by subject-matter experts, sessions will explore approaches used to satisfy AI model explainability and interpretability, the importance of developing appropriate data foundations for AI and how to apply traditional model risk management frameworks to AI applications.

Key ethics indicators and challenges will be discussed, as well as the possible implications of unethical model use and best practices to mitigate these risks. Sessions will focus on practical uses cases of AI, such as managing financial crime and operational risk.

This course will develop participants’ understanding of how AI is changing the face of traditional banking, future applications and challenges, as well as the importance of creating a culture that supports AI adoption and implementation.

What will you learn?
  • Development of using AI for risk management and governance 
  • Requirements of explainable AI models from regulatory perspectives 
  • Understand typical challenges when managing data for AI 
  • Implication of artificial intelligence on model risk management  
  • The impact of AI ethics and conduct
  • Best practices for mitigating fraud and AML using AI 
  • Identify potential priorities for AI moving forward and future development
Who should attend?

Relevant departments may include but are not limited to: 

  • AI/ML

  • Risk management

  • Model validation

  • Data science

  • Operational risk

  • Digital innovation

Pricing options

We offer flexible pricing options for this course:

  • Early bird rates 

  • Group rate

  • Enterprise rates

  • Visit registration page for further information

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

Content support

For this course we have collated a selection of articles from to supplement your learning.

Risk Training is a part of - the world’s leading source of in-depth news and analysis on risk management, derivatives and complex finance.

View articles here

Download agenda

Please fill in your details 

Live Virtual training courses


Our live virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:

  • Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days

  • Facilitated collaboration including Q&A, interactive polling and group workshops

  • Live interaction with subject matter experts – get your questions answered in real time

  • Receive comprehensive course materials and supporting content from to reinforce your learning

  • Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants

Not the course for you?

Risk Training offers a great selection of courses providing practical guidance on the latest trends, challenges and regulatory changes that span risk management, regulation and derivatives.

View all courses


Risk Training's self-paced E-Learning platform offers Advanced Operational Risk programme. Covering in breadth and depth the most topical elements of operational risk management and its challenges for financial services