Selective freedom and ego-based symbiosis
Our businesses are the means by which we pursue a longer-term vision.
From surviving to living well
Over the centuries since industrialisation, humanity has come close to solving, in technical terms, most of the problems of survival. The question that follows is not how to stay alive but how to live.
When AI takes on the labour required to survive and the labour required to earn, what remains for people is activity that happens between them. There, the question is less what to build than how to coexist, and with whom.
Two principles
First, selective freedom: a state in which, whenever intentions conflict, a compromise everyone can accept is always available. A state in which everyone agrees on the best outcome is not achievable in principle. The aim is not maximum happiness but minimum maximum dissatisfaction.
Second, ego-based symbiosis: a social structure in which a person can coexist with others without discarding their own values. Every way of thinking is guaranteed a place in which it may be attempted. Ways of thinking that destroy the foundation of others become unrealisable — not through prohibition, but because the structure does not support them.
The role of AI
In this design AI is not an arbiter but a proposer. It detects conflict, translates it into terms each side can read, and computes and presents a point of compromise. The decision always rests with people.
And rather than judging which side is right, AI spends its resources designing the conditions under which both can continue to exist while remaining right in their own terms. The point is not to change how the pie is divided but to increase what there is to divide.
Why enterprise AI governance is the first step
Different departments hold different policies, and the organisation must still function as one. The basis for decisions must be recorded so it can be examined later. Boundaries must exist so that one party's authority cannot destroy another's foundation. Structurally, the problem we are solving in enterprise AI governance is the same problem at a smaller scale.
We intend to spread this not as an idea but as infrastructure — in the way the underlying protocols of the internet did, running beneath everyone without being noticed.