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Organizations just starting to implement machine-learning and AI approaches for financial crime prevention and compliance programs face many new regulatory challenges with interpretability, responsible use, model validation and ongoing performance monitoring.  

Read Driving the acceptance of AI for financial crime prevention to learn how to:

  • Generate stakeholder buy-in from the start
  • Document decisions and testing throughout the model development process to satisfy regulatory examination and committee reviews
  • Keep model validation up-to-date and understand why staying current is important
  • Continuously monitor AI models for a detailed understanding of estimations and metrics
Vendor:
PwC
Posted:
Apr 29, 2022
Published:
Nov 3, 2021
Format:
HTML
Type:
eBook

This resource is no longer available.

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