Reducing Bias in Compensation Decisions: Algorithms and Technology
Workplace Equity
Session Format
Target Attendee Experience Level
Intermediate: Hands-on and Practical Application

Compensation decisions can be made with a great deal of bias, conscious or unconscious, depending on the decision maker. As Total Rewards professionals, what can we do to combat this all-too-common problem? Using algorithms and technology, we can reduce that bias and help managers be fair, ensure equity and save time. In this session, we will share the complete rationale behind the intelligence we’ve created that can be applied in any company around the world.

Learning Objectives
· See best practices for using algorithms to reduce bias in compensation decision making.
· Understand how artificial intelligence can remove bias in the performance evaluation process.
· Learn how to teach managers to make less biased decisions.