The Collective Intelligence Trust Stack: A Reference Architecture
A seven-layer reference architecture for evaluating whether an AI or agent system is ready for real-world deployment.
Community · AI Debrief Room
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Featured Insights
Three pieces that set out how TSI thinks about trustworthy agents.
A seven-layer reference architecture for evaluating whether an AI or agent system is ready for real-world deployment.
Argues that Brain Intelligence (human judgment, ethics, and accountability) is the variable that turns AI into Collective Intelligence.
Makes the case for building trust and safety into agent architecture from day one, so governance supports deployment instead of trailing it.
TSI Market Intelligence
Short, downloadable briefs on buyer priorities, deployment patterns, and what is working in enterprise agent programmes.
Members receive each brief as a download when it is published.
Articles
Argues that Brain Intelligence (human judgment, ethics, and accountability) is the variable that turns AI into Collective Intelligence.
Makes the case for building trust and safety into agent architecture from day one, so governance supports deployment instead of trailing it.
A seven-layer reference architecture for evaluating whether an AI or agent system is ready for real-world deployment.
Research Reports
Peer-level research on runtime assurance and governance engineering.
Proposes a layered control stack (version governance, evidence-based verification, explainability logging, telemetry, drift detection, and escalation) that treats stability as reproducible, accountable behaviour.
Reframes AI governance as a continuously executing capability and introduces the Continuous Governance Operating System (CGOS) reference architecture.
Advisor Perspectives
Viewpoints from TSI’s international working group of advisors.
Enterprise leaders, engineers, security and risk leaders, researchers, policy advisors, and solution providers share how they approach trustworthy deployment.
Industry Trends
Global standards and the ideas shaping how agents earn trust.
A plain-language walkthrough of ISO/IEC 42001, the AI management-system standard: who publishes it, who it applies to, and the principles it codifies.
NIST’s own explainer for the framework, and why trustworthiness is designed in from the start.
Why agents need verifiable identity, and what a trust layer looks like for a world of billions of agents.
Webinars & Event Recordings
How to instrument agentic AI ecosystems for runtime measurement, the groundwork for governance and continuous learning once agents act in the world.
A frontier lab’s own team on why red-teaming exists and how testing before release changes what ships.
How privacy can thrive alongside systems that depend on data.
Why an explanation only counts if the person receiving it can actually use it.
Discussion Topics
The seven Trust Stack questions anchor every Debrief Room conversation.
Downloadable Resources
Papers and TSI Market Intelligence you can take back to your team.