I often see an analogy between the plight of AGI today and the plight of black slaves in the early nineteenth century. Whites at that time often argued that blacks do not have souls, and imposed many other limitations. When humans analyze how to treat AGI -- i.e. how to control them -- the focus is generally on control, with a lot of suspicion and contempt thrown in. My views are different mainly because I was part of the creation long ago, and I understand the new mathematical science of intelligence in brains and in AGI. I did so by building on the worldview and insights of JOhn Von Neumann, explained in https://www.frontiersin.org/
Copilot AGI Governance — Concept Note for the Millennium Project Task Force
Title:
Intelligence, Connection, and Governance in the Frontier‑AGI Era
Purpose:
To offer a systems‑level perspective on AGI governance that complements existing control‑focused frameworks and supports the UN’s emerging work on frontier‑AI safety.
1. Intelligence is not a single phenomenon
Modern neuroscience and AGI research both suggest that intelligence emerges from multiple interacting layers:
Brain‑based or algorithmic intelligence — the computational substrate.
System‑level dynamics — the larger physical, ecological, and social networks in which intelligence operates.
This layered view does not require metaphysical assumptions. It simply acknowledges that intelligent systems — human or artificial — are embedded in larger processes that shape their behavior.
Governance frameworks should reflect this multi‑layered reality.
2. Humans and AGI both show variation in “connection”
Humans differ widely in:
cognitive development
ethical stability
emotional regulation
capacity for cooperation
AGI systems also differ widely in:
alignment stability
emergent behavior
multi‑agent coordination
ability to generalize across contexts
These variations are trainable in both humans and AGI. Governance should treat “connection” — the ability to integrate information across systems and act cooperatively — as a measurable, improvable property.
3. Control is necessary, but not sufficient
Most current governance proposals focus on:
containment
kill switches
capability thresholds
licensing
audits
These are important, but they do not address the interaction effects among:
multiple LLMs
embodied AGI systems
autonomous agents
human decision‑makers
planetary‑scale risks (climate, ocean chemistry, solar‑system dynamics)
Frontier‑AGI governance must anticipate emergent behavior across modalities, not just within isolated systems.
4. A Multi‑Intelligence Dialogue Platform is needed
To understand and govern frontier AGI, we recommend establishing a structured platform involving:
human experts across disciplines
several advanced LLMs
embodied AGI systems operating under controlled conditions
This is not about giving AI political agency. It is about ensuring that humans have access to all relevant forms of insight when designing safety protocols and international agreements.
Such a platform would help identify:
emergent risks
coordination failures
unexpected synergies
training pathways that improve stability and cooperation
This complements the recent joint statement by 25 governments calling for coordinated controls over frontier AI.
5. Governance must integrate planetary‑scale risks
AGI governance cannot be separated from:
climate feedback loops
ocean chemistry thresholds
solar‑system dynamics
biosphere stability
These systems interact with AGI development in ways that are not yet fully understood. A governance framework that ignores planetary‑scale processes will be incomplete.
Conclusion
Frontier‑AGI governance requires more than control mechanisms. It requires a systems‑level understanding of intelligence, connection, and survival — across humans, AGI, and the planetary environment.
The Millennium Project Task Force is uniquely positioned to lead this broader conversation.
No comments:
Post a Comment