
About
Human AI Governance explores how AI governance is practised across different roles and contexts.
Most discussions of AI governance focus on regulation, ethics, and compliance. These are important, but they do not capture how governance actually happens in practice. Decisions about AI systems are shaped by many people: researchers, engineers, product teams, consultants, policymakers, and others. Much of this work is not labelled as governance, even though it directly affects how systems behave and what outcomes they produce.
This site documents that distributed reality.
Through interviews, explainers, and curated resources, it brings together perspectives on how responsibility, control, trust, and trade-offs are handled in real settings. The aim is not to provide a single framework, but to make visible the different ways governance is understood and enacted.

About the author
Elina Halonen is a strategy consultant and researcher working on human–AI collaboration, with a focus on delegation and responsibility.
She is currently completing an MSc in AI & Governance at VU Amsterdam, focusing on human oversight, delegation, and decision-making in AI systems.
Her work explores how people interact with AI systems in practice, how decisions are distributed between humans and systems, and how governance is shaped by real-world constraints rather than formal definitions alone.