Objectives

The Participant:

• Has an overview of the problem of algorithmic bias and biased artificial intelligence.
• Can identify whether data and models are biased and describes some strategies to improve the fairness of an AI application.

Content

• What is AI fairness?
• How to spot bias.
• How to deal with bias.

Target Group

• All employees.

Prerequisites

• Basic machine learning skills.