Artificial Intelligence and Ethics
Ethical, legal, and governance issues in modern AI systems.
Long-form articles and reports, grouped by topic.
Ethical, legal, and governance issues in modern AI systems.
Speculative, blue-skies work applying object-oriented cognitive modelling reflexively to the self, checked against real theories of consciousness and their ethical stakes. A weak-AI claim throughout: an analogue, not an instance.
Pedagogy, learning design, and research methods.
Technical foundations, capabilities, and limitations of modern AI systems.
Trust, distributed systems, and computational frameworks for AI.
Papers and technical manuscripts related to AI systems and geometric algebra.
PatLang programming language, self-hosted compiler, and interactive portfolio.
Concept mapping, Self-Organizing Maps, graph pathfinding, accessible navigation, and wayfinding across complex learning journeys.
How knowledge in computing and AI actually decays, consolidates, and gets reused: the evidence behind claims that skills expire fast, the cognitive-science mechanisms behind durable learning, and what happens โ for an individual or a whole research field โ to the knowledge that doesn't consolidate.
Lighthearted crossovers between computing and things that have nothing to do with it. Playful, not peer-reviewed.