The AI Model Risk Masterclass by Alexander Sokol is open for enrollment. Explore the course schedule and sign up today to reserve your spot to master your AI model risk management skills.

This masterclass is a joint venture, hosted by WBS Training and CompatibL.

Each lecture will be accompanied by a hands-on exercise where participants will use an online playground to:

  • Implement AI-based workflows based on use cases of practical importance to banking and asset management
  • Measure aleatoric and epistemic risk of these workflows
  • Mitigate the sources of both types of risk
  • Measure the resulting improvements in model risk and reliability metrics

Coding will not be required for workshop participation.

Course Schedule and Contents

  • Start Date: March 24
  • Delivery Mode: Live Online (flexible learning over 4 weeks, 1 lecture per
  • week)
  • Structured Assessment: Participants who successfully complete the workshop objectives will be issued a Certificate.
  • Total Lecture Hours: 16 hours
  • Instructor: Alexander Sokol, Head of Quant Research, CompatibL
  • Length: 16 hours, delivered over four weeks, live online, one lecture per week with a 30-minute break, as follows:

Week 1: March 24

Introduction, Requirements, and Use Cases

  • Introduction to AI model risk
  • AI workflow types
  • Selected use cases

Practical Exercise: Building and testing AI-based workflows

Week 2: March 31

Quantitative Management of AI Model Risk

  • Measuring AI model risk
  • Quantitative metrics by workflow type

Practical Exercise: Measuring AI model risk

Week 3: April 7

Mitigation of Psychological Effects and Cognitive Biases in AI Models

  • Psychological effects
  • Cognitive biases

Practical Exercise: Identifying and mitigating cognitive biases

Week 4: April 14

Improving Reliability of AI-Based Workflows

  • Key causes of uncertainty
  • Mitigation by prompt and workflow design
  • Mitigation by Monte Carlo

Practical Exercise: Using voting and crowdsourcing to improve reliability

By the end of the whole program, participants will:

  • Understand quantitative measurement and reporting of AI model risk
  • Learn the key metrics for the accuracy and reliability of AI
  • Learn how to mitigate AI model risk using advanced techniques from behavioral psychology
  • Learn to design reliable AI-based workflows

View the full schedule and reserve your spot: https://www.wbstraining.com/events/ai-model-risk/course-schedule-and-contents/

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