Course description
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.
Do you work at this organisation and want to update this page?
Is there out-of-date information about your organisation or courses published here? Fill out this form to get in touch with us.
Suitability - Who should attend?
-
AI/ML
-
Risk management
-
Model validation
-
Data science
-
Operational risk
-
Digital innovation
Outcome / Qualification etc.
- 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
Why choose Risk Training
5,000+ Attendee's per year
500+ Companies per year
95% Satisfaction rate
Customer Outreach Award 2019
We believe that it should be easy for you to find and compare training courses.
Our Customer Outreach Award is presented to trusted providers who are excellent at responding to enquiries, making your search quicker, more efficient and easier, too.