Prompt Theatre: The Ethics of Drift
When visibility becomes validation, systems reward performance over purpose. The Ethics of Drift explores how automation, culture, and metrics reshape meaning — and how to reclaim authorship, balance, and intent in the age of generative AI.
It Works on My Machine: When Passion Becomes Possession
When passion narrows into possession, collaboration starts to feel like interference. This is how good intentions harden into certainty — and how certainty isolates us from the very systems we’re trying to improve.
Authorship, Autonomy, and the Algorithm
A reflection on how fear shapes our response to new tools — from calculators to ChatGPT — and how embracing collaboration between human and machine can redefine creativity, authorship, and ethical progress.
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.
Empathy Mapping: Visualising the User Mindset
A collaborative framework that visualises what users say, think, do, and feel to build shared understanding and design empathy-led experiences.
Inclusive Design Principles: Designing for Difference
Inclusive design creates products and services usable by the widest range of people by recognising exclusion, learning from diversity, and designing solutions that benefit everyone.
Avoidance is not empathy
Empathy has become the new professional currency — but when it’s used to avoid discomfort rather than confront it, understanding disappears. This piece explores how performative compassion erodes clarity, from classrooms to design labs.
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.
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.