Meaningful worker participation in AI and workplace technology.
This repository provides open-source resources to embed worker-informed participation into the design, procurement, modification, and governance of AI/software systems — especially those affecting health, safety, and working conditions.
WIPP is a practical, adaptable protocol that moves beyond simple consultation to active co-participation with substantive worker voice.
Read the full WIPP Boilerplate Clause →
- Ready-to-adapt contract and policy language (WIPP Clause)
- Templates for joint impact assessments and governance (Impact Assessment Template)
- Guidance for participatory design workshops
- Reference architecture for collaborative policy authoring, per-request enforcement through existing AI gateways with Open Policy Agent, and a hash-chained OpenTelemetry audit stream for the Joint Committee (docs/architecture.md)
- Worked walkthrough, an illustrative example taking a CBA clause to a WIPP term, worker notice, Rego rule, and audit event (examples/cba-to-policy-walkthrough.md)
- Vendor Telemetry Addendum with clause language for vendor data disclosure and log export (clauses/vendor-telemetry-addendum.md)
- Sector version: Construction & Field Services, covering multi-employer sites, wearables, scheduling and dispatch, and exposure monitoring (clauses/WIPP-CLAUSE-construction-field-services.md)
See the Roadmap for what is in development.
Workers closest to the work possess unique insight into real-world risks and potential harms. WIPP helps organizations meet NIST AI RMF, DOL AI Principles, and union best practices while reducing deployment risks and improving outcomes.
We invite worker organizations, unions, EHS teams, and labor centers to pilot WIPP, including the clause, the sector versions, or the reference architecture, and to share what works and what doesn't. To start, open an issue describing your context. Please don't include confidential or personal information.
- ⭐ Star the repo
- Fork and adapt the clause for your context
- Open issues for new sector adaptations or tools
- Share with unions, EHS teams, policymakers, and researchers
Built from discussions at the NIEHS 2026 "AI & Worker Health/Safety" conference and aligned with the UC Berkeley Labor Center's Negotiating Tech inventory.
This work is released under CC-BY-4.0.
You are free to adapt and use it with attribution to:
inXsol LLC — WorkerInformedAI
