The intellectual engine of GI
Perspectives
We publish ideas that expose assumptions, interpret evidence and create practical ways to preserve human agency.
Essays
Original GI arguments and positions that change how problems are framed.
Agency Is More Than Choice
Why meaningful control depends on memory, continuity and the ability to contest automated decisions.
The Interface Is the Institution
Every interface distributes power: it decides what is visible, possible and accountable.
Autonomy Changes the Burden of Proof
As systems act more independently, evidence must move closer to the outcomes they produce.
Digital Continuity as a Human Interest
A person’s history should survive changes in platforms, providers and intelligent assistants.
From Control Panels to Governed Relationships
The next generation of governance will manage relationships between people, systems and institutions.
Paper Editorials
Interpretations of important research through GI’s worldview.
Why AI Assurance Must Include Residual Risk
A GI reading of research that asks what remains after controls have been applied.
What Portability Research Misses About Memory
Moving data is not the same as preserving context, provenance and personal meaning.
Beyond Accuracy in Automated Decisions
Why performance metrics alone cannot establish whether a system deserves institutional trust.
The Governance Meaning of Model Uncertainty
Uncertainty is not only a technical property; it changes disclosure, ownership and accountability.
Reading FinOps Through an AI Governance Lens
Cost visibility becomes governance when expenditure is connected to agents, paths and outcomes.
White Papers & Frameworks
Formal models and methodologies that turn ideas into operational forms.
The Human Agency Test
A practical set of questions for assessing whether a digital system preserves meaningful human control.
Personal Memory Sovereignty Framework
A model for examining ownership, portability, provenance, continuity and consent.
Embedded Values Governance Canvas
A structured way to expose the value choices carried by intelligent systems.
Outcome Evidence Chain
A method connecting system actions, evidence, ownership and institutional claims.
AI Technology Value Assurance Model
A framework linking AI expenditure to causal execution paths and governed business outcomes.