LANDMARK · 6 MIN · STEWARD
Workforce consultation
After this landmark, you can explain why consulting the workforce an AI system affects is a governance input, not just a communications courtesy.
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This concept is shared, but the Everyday lens is less central here.
You can still explore it. We’re showing the shared explanation and a related practical view without hiding the knowledge.
AI deployments that change how people work (a new tool, an automated step, a monitoring system) are usually designed and approved by people who don’t do the affected job day to day, which means the people closest to the work often see failure modes, workarounds, and unintended consequences before any dashboard does. Workforce consultation means treating that proximity as a governance input: bringing affected employees into the design and rollout process, not just informing them after decisions are made, and creating a real channel for concerns that reaches decision-makers rather than dead-ending in a suggestion box.
This is the canonical concept. It stays the same across learner lenses so personalization never changes the underlying facts.
◌ EVERYDAY LENS
What this looks like for you
If an AI tool changes how you do your job, your observations about where it breaks down are exactly the signal a good rollout process wants; raise them through whatever channel exists, even informally.
MAKE A DECISION
A company is rolling out an AI tool that automates part of a customer-service workflow. Frontline staff raise concerns during a pilot that the tool mishandles a common but unusual case. What’s the right response?
CARRY THISFor an AI tool being introduced in your workplace (or one you’ve experienced), was there a real channel for affected staff to raise concerns before and during rollout? What happened to concerns that were raised?