What it's about:
You've identified your high-risk stakeholder groups. Now what?
This board helps you select and plan specific interventions to mitigate bias for each group.
You'll choose from 21 intervention options across six categories, then layer them by timeline so you're able to ship short term protection quickly whilst building longer-term fixes.
The key concept here is Minimum Viable Fairness (MVF): what's the bare minimum you need in place to deploy without causing harm? Perfect shouldn't be the enemy of good. Ship MVF first, then iterate.
What it helps you achieve:
An actionable intervention plan with:
Immediate protections: what you can implement right now
Short-term fixes: what you can ship in the next few weeks
Medium-term improvements: what you'll build over the coming months
Each intervention gets a clear owner, timeline, and success metric. No more vague commitments to "address bias later."
Who benefits most:
Product managers, data scientists, engineering leads, and cross-functional teams who need to translate bias risk assessments into concrete action. Particularly useful for teams under pressure to ship, who need to balance speed with responsibility.
How to use it:
Allow 60 to 90 minutes. Review your high-risk groups from Board 3, match them to interventions from the library, and define your MVF.
** Use the built-in AI Sidekick to get personalised recommendations based on your specific risk profile. Document everything in the intervention tracker so nothing falls through the cracks.
Part of the AI Bias Mitigation Workshop series (Boards 4 to 4).
Includes a custom AI Sidekick to help you select and prioritise interventions.
