Towards Industrial AI Governance Inspired by OSPO: A Primer
summary
Volvo Cars maps OSPO processes onto industrial AI governance, creating a Open Source Program Office in January 2023, a cross‑functional generative AI committee, and MLOps platform integration to manage intake, compliance, distribution and auditing of models and tooling. Policies cover discovery, vetting (composition analysis, static analysis), IP and privacy, and sustainability (Software Carbon Efficiency). Automated inventories plus hub‑and‑spoke audits approve/reject components; industry signals include the Model Openness Framework and EU AI Act timelines toward 2026–2027.
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chapters (23)
- 0:00Introduction
- 1:05Misconceptions about governance
- 2:08Volvo Cars governance history
- 3:50AI role at Volvo Cars
- 5:16Carcinization in governance
- 6:20Strategic planning
- 9:12Governance principles
- 10:56Policy writing pitfalls
- 13:48External AI tools policy
- 16:39Model Openness Framework
- 17:24AI research collaboration
- 18:07AI sustainability policies
- 19:12Ethical AI essentials
- 20:59Regulatory compliance
- 23:04IP challenges in AI
- 25:11Security vulnerabilities
- 27:44AI governance security
- 28:47Privacy in AI systems
- 31:54Policy implementation
- 32:37Governance workflows
- 35:04AI governance roles
- 36:49Summary
- 37:51Q&A
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