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Express Courses

AI Bias, Fairness and Model Assurance Express Course

Make Defensible Decisions About AI Bias and Fairness

This course places learners in the role of a reviewer evaluating an AI-enabled lending system where aggregate accuracy metrics are insufficient to address fairness concerns. Participants will identify where bias can enter decision-making, analyze disaggregated fairness data instead of relying on headline accuracy scores, and defend a recommendation to continue, restrict or pause the system before applying the same judgment framework to a new AI use case.

DELIVERY METHOD: ON-DEMAND | TIME: 1 HOUR | CPE CREDITS: 1 | FOCUS AREA: GOVERNANCE, RISK AND COMPLIANCE | PROFICIENCY LEVEL: INTERMEDIATE | LANGUAGE: ENGLISH | KNOWLEDGE AREA: COMPLIANCE

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Delivery

A stable internet connection is required. To record your completion of the online learning experience, please ensure you are connected to the internet at all times.


Cancellation Policy

Refunds are not provided for ISC2 learning experiences.

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