Tackling Bias in Fraud Detection and Monitoring Models Using GenAI
- Dec 4, 2023 1:00 p.m.
- Central Time (CT)
Webinar
Course Level
Overview
Overview
Delivered via
Online
Online
Duration
75 minutes
75 minutes
Tackling Bias in Fraud Detection and Monitoring Models Using GenAI
Description
As techniques for effective fraud risk management continue to evolve, the potential for bias affecting fraud risk prevention and detection strategies increases. This session will explore the various ways in which bias can introduce itself into your fraud detection and monitoring models and provide strategies for how to combat and reduce that bias proactively – including how to leverage generative artificial intelligence (AI) to combat bias.
Prerequisites
None
You Will Learn How To:
Identify the ways bias can manifest in fraud detection and monitoring models.
Proactively detect bias in your fraud risk management program.
Apply Generative AI when evaluating existing fraud detection and monitoring models for bias.
CPE Information
| CPE Credit: | 1.5 |
|---|---|
| Advanced Preparation: | None |
| Delivery Method: | Group Internet Based |
Credit by Field of Study
| Specialized Knowledge: | 1.5 |
|---|
Presenters
Revathi Subramanian - Speaker
Global Capability Lead for Fraud AI, Center for Advanced AI
Accenture
Sophia Carlton, CFE - Speaker
Fraud Transformation Executive, Strategy & Consulting
Accenture
Policies
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Terms and Conditions
The Association of Certified Fraud Examiners, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.