Human-in-the-Loop Ethics: Keeping Humans Accountable
Human-in-the-loop (HITL) ethics keeps AI systems aligned with human values by maintaining human oversight and accountability while balancing efficiency, fairness, and trust in automation.
Explainable AI for Comms: Legible Machine Logic
Explainable AI for Comms applies XAI principles to make AI decisions in communication systems transparent and trustworthy, improving oversight, reliability, and human understanding.
Marxism: The Politics of Class and Capital
Marxism critiques capitalism through class struggle, proposing a classless society where workers collectively control production.
Safe-to-Fail Systems: Resilience by Design
Safe-to-fail systems embrace the inevitability of failure by designing for controlled degradation, resilience, and recovery — creating structures that adapt, learn, and protect from collapse.
My brain is not a buzzword
After years of engineering my own focus systems, I finally have an official label for the mind that built them. ADHD hasn’t changed who I am — it’s simply given my methods a name. This piece is about ownership, not confession: how to hold a label without being held by it.
When the Editor Becomes the Algorithm
AI hasn’t stolen authorship — we’ve surrendered editing. In the rush to automate creativity, we risk confusing fluency with thought and speed with understanding. The future of intelligence depends not on prediction, but on stewardship.
The Measurement Cluster: weaponised metrics
When progress becomes performance theatre, productivity collapses under its own applause. This piece examines how linguistic inflation and measurement overload fracture focus — and how clarity restores traction.
Legitimacy Theatre: When Systems Perform Progress
Systems that perform progress confuse complexity for competence. This article decodes how legitimacy becomes theatre — a choreography of mimicry, incentives, and selective attention that rewards motion over meaning.
The Cost of Complexity: Why Systems Fail When Language Does
When systems start performing instead of explaining, users lose faith. Strategic simplification isn’t cosmetic — it’s the architecture that makes progress visible.
Conceptual Model Theory: Mapping Systems of Thought
A conceptual model visualises how key elements within a system interact. It turns abstract theory into a practical framework for research, analysis, or design, clarifying structure and guiding inquiry.