Objectives On completion of this tutorial, you will be able to:

• Identify the main sources of bias in AI and recognize when bias can become discrimination
• Identify some possible solutions to the problem of bias in AI
• Recognize through a case study how AI biases have created issues in the world of banking

Tutorial Overview For AI algorithms to be well designed, they should perform as the designer/programmer wishes them to. But algorithms are complex tools, and it is easy to inadvertently insert ethically problematic biases in them. These biases skew algorithms away from what they should be. This tutorial looks in detail at the issue of biases in algorithms and when such biases amount to discrimination. It also examines the potential solutions to avoiding these biases. Prerequisite Knowledge AI Ethics - Key Issues Tutorial Level: Introductory Tutorial Duration: 35 minutes