Building models that deliver explainable outcomes
The ability to turn knowledge into effective action; applying information, reasoning, and experience to produce measurable, real-world results.
Functional intelligence emphasizes:
Notes on functional intelligence and transparent AI systems.
A technical analysis of the requirements of Article 50 of the EU AI Act, focusing on the obligation for machine-readable marking of AI-generated content and the compliance gap most organisations currently have.
Read More →
Generative AI has disrupted the traditional correlation between effort and output quality in education, creating an "Effort Gap". Identical submissions can represent vastly different processes, challenging the validity of traditional grading methods. This article explores the implications of this gap and proposes a solution through verifiable effort tracking.
Read More →
Researchers working on AI transparency and human-centered design.
Co-founder, Research Lead
Researcher building transparent AI systems. Author of the TWFF specification and lead architect of the Glass Box reference implementation.
Co-founder, Human-Computer Interaction
Researcher focused on trust, transparency, and the design of human-AI systems. Leads user research and interface design for the TWFF toolchain.
Technical Lead
Technical lead for Colophon chrome extension. Background in software engineering and web development. Interested in building tools that enhance user experience and accessibility.
Developer
Developer for Colophon chrome e xtension. Background in software engineering and web development.
Developer
Developer for Colophon chrome extension and colophon web app. Background in software engineering and web development.