Bias in AI-In Automated Employment Decision Tools/Systems.

Automated employment decision tools (AEDTs) can definitely make life easier. But what happens when these tools are biased?

In this episode, Cari L. Miller (co-founder and lead researcher at the Center for Inclusive Change) shares some examples of bias in AEDTs and gives great pointers on what employers/companies should look out for when integrating these systems into the workplace.

📢 When sourcing Automated Employment Decision Tools, companies ought to look for vendors that acknowledge that biases exist and are taking steps to mitigate them.
💡 Ask what type of data was used, was it representative?
📢 Ensure there are solid guiding policies and stakeholder/user feedback during the process of buying these tools.
⚠ Watch out for systems that act as micromanagers. These impact productivity and overall wellbeing.