Board-level documents exploring the structural foundations of AI-human alignment. Each paper applies organisational governance logic to problems that are typically approached from a purely technical perspective.
These are not blog posts or opinion pieces. They are structured working papers designed for senior readers — AI labs, government policy teams, and executive leadership — who need frameworks they can apply, not arguments they need to evaluate.
A governance-first approach to alignment that treats AI control as an organisational design problem. Introduces a 24-point periodic system for mapping the constraint landscape of AI-human interaction.
Read paper →Examines the counterintuitive principle that well-designed constraints create rather than limit productive freedom — and why this matters for AI control architectures.
Read paper →How self-reflective feedback loops and observational restraint create natural governance mechanisms — applicable to both human organisations and artificial intelligence systems.
Read paper →