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Course ID: AIBE

Artificial Intelligence, Bias, and Ethics

Machines that can learn, can (and almost always do) learn to be biased. What are the ethical, social, and business ramifications of this? Participants will gain an accurate (but non-math, non-engineering) understanding of how bias seeps into AI models, even if the computer algorithms are coded in a non-biased way. They will know what transparency is ( the ability to show why a computer made certain decisions and recommendations) and how transparency may be achieved (in some cases). The will know the best ethical practices for managing bias in business uses of AI.

Learning Objectives

Hour 1 – By the end of this hour participants will be able to articulate the ways that bias gets into AI models.

Hour 2 –  By the end of this hour, participants will be able to say what transparency means in the context of AI, articulate the limits of ethics panels in AI, and make a case for different approaches to implementing ethical principles.

Major Topics

Hour 1: Where Does Bias Come From?

Hour 2: Transparency, Ethics, and Moving Beyond Ethics Committees

Advanced Preparations


Who Should Attend

Anyone interested in topics regarding AI and Ethics.

Fields of Study

Behavioral Ethics




Colorado Society of CPAs

CPE Credits




This course is available for your group as:


Let's Roll!

To learn more or customize this course for your group, complete this form and a COCPA team member will get back with you shortly.

Or, contact COCPA: (800) 523-9082 or
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