Here’s a harsh truth about AI in project management: a tool can boast 92% overall accuracy while quietly failing an entire subgroup of your team, vendors, or stakeholders — and nobody notices until the damage is already baked into your processes.
This month’s AI Simplified newsletter tackles:
- How bias enters AI systems through data selection, project definitions, and vendor tracking
- Why “having a human in the loop” often isn’t the same as meaningful oversight
- Red flags that your organization’s AI governance exists in name only