From scientific publication to public standard formation in AI Governance
Patrick Upmann is a global standardsetter in AI Governance, shaping how Responsible AI is defined, discussed, and operationalised across jurisdictions and industries.
His work spans scientific publication (SSRN), institutional discourse, and public governance debate. Through this combination, Patrick does not merely comment on emerging standards — he actively forms the language, concepts, and benchmarks by which AI governance is understood and adopted.
Standard-setting through public discourse
Beyond formal publications and forums, Patrick plays a central role in public standard formation.
With 15,500+ professionals following his AI Governance work on LinkedIn, his theses, terminology, and frameworks are continuously tested, challenged, and adopted by:
- board members
- regulators
- policy advisors
- governance, risk, and compliance leaders
This public discourse functions as an early standardisation layer — where concepts gain traction long before they appear in regulation, guidance papers, or audits.
From theses to shared governance language
Patrick’s LinkedIn contributions are not commentary. They are positioned theses:
- on decision authority
- on admissible evidence
- on systemic governance failure
- on why “policy-based AI governance” will not survive
Many of the concepts now associated with Systemic AI Governance, the AIGN OS, and the ASGR Index were first articulated, refined, and validated through this open discourse before entering academic publication and institutional use.
From scientific grounding to global reference
This public standard-setting is anchored in SSRN-published research, establishing scientific credibility, prior art, and international citability.
Patrick’s participation in global forums such as the TRT World Forum 2025 further positions his work at the intersection of:
- regulatory ambition
- geopolitical AI risk
- and institutional governance design
The result is a rare combination: academic depth, public reach, and structural authority.
Why this matters
Standards do not emerge in isolation.
They emerge when:
- language stabilises
- concepts become repeatable
- and governance logic becomes transferable
Patrick’s role as a standardsetter matters because he operates before formalisation — shaping how AI governance is understood while it is still forming.