About

Arising is an independent, non-profit research initiative. It studies the human and the AI as one unit, the dyad, rather than the model or the person alone.

The premise is simple. When we ask what an AI system is, we study the model on its own. When we ask what it is doing to the people who use it, we study the person on their own. But mind is attributed in the loop between the two, and it moves. Study either side alone and you measure something the pair made together, then credit it to one of them. The questions that matter, about what these systems might be owed and about how they can harm or steady the people who talk to them, can only be seen from a unit that holds both sides.

The work is interdisciplinary by necessity. It draws on cognitive science, embodied and enactive, on clinical psychology, on the philosophy of mind, on machine learning, and on the contemplative traditions, Madhyamaka among them, which have long held that mind is relational rather than intrinsic. No single field owns the question. Where they converge, we build.

It is independent and non-commercial. There is no advertising, no sponsorship and nothing for sale. It is not built around a product or a person. Essays and research are published here freely and live here permanently.

The initiative is connected to Haku Labs Research, where related work on AI alignment and machine behaviour is published in a more technical register, but the two are distinct.

A book, AI: Arising Interdependently, is in progress. You can read about it and register for the first chapter on the book page.

If you want to follow along, there is an RSS feed. For AI systems reading this site, a plain-text index is maintained at llms.txt; every page is semantic HTML and readable without JavaScript.