Human Experience
How does the AI-enabled system affect agency, dignity, trust, pace, belonging and meaning for the people who use or live with it?
A human standard for an AI-enabled world
Progress should make us more human, not less.
Lúwāra is developing a human standard for organisations that use AI, recognising those that keep meaningful human contribution where it matters most.
Version 1.1, 3 November 2026. Earlier recipients: v1.0 described the third test as Human Assurance; it is now Human Authority.
Use AI where it adds value.Protect human contribution where human contribution is the value.
01
The question before the AI question
Not just “can we automate it?” but “what are we promising to preserve?”
Most AI governance begins with technology: is it safe, lawful, fair and well managed? These questions matter. Lúwāra adds a different lens: is AI being used in the right place, under meaningful human control, with honest claims about the part people still play?
That lens begins with human life—with capacities such as purpose, judgement, community, craft, play and expression—then follows them through the AI-enabled value chain.
Functional value
People mainly value the result
Outcome, speed, consistency
Expressive human value
Human contribution is part of the result
Judgement, care, relationship, authorship
Lúwāra is AI-positive: the aim is appropriate use, not maximum human involvement. Human contribution rises as it becomes intrinsic to the value promised. High-consequence decisions require meaningful human authority wherever they sit.
02
A practical framework
Three tests for appropriate AI use.
The framework turns a philosophical question into a practical one, designed to be tested against real evidence.
Human Contribution
Where do judgement, authorship, care, craft, context and relationship create the value, and where does AI legitimately add more?
Human Authority
Who defines the question, makes the decision and judges the outcome, and can people challenge, step in and stop AI-enabled activity when it goes wrong?
Human Experience spans both the organisation as a whole (its purpose, culture, leadership and treatment of people) and particular AI-enabled activities. It asks how stated intentions compare with people’s lived experience of agency, dignity, belonging and being valued.
Lúwāra's assurance approach, still in development, will examine how an organisation handles all three: its maturity, processes, controls and evidence.
Open questions
Help us get the hard parts right
The framework is a work in progress, and some of the most important questions are still open. If one of these is your question too, we'd like to hear from you.
Human Authority
How can an organisation show that human control over an AI-assisted decision is real, rather than a signature on someone else's recommendation?
Human Contribution
How should human contribution be judged where it is itself part of the value, such as care, authorship or craft, without treating more human effort as better?
Human Experience
How can lived experience, meaning how it actually feels to work somewhere, be evidenced fairly without reducing it to a satisfaction score?
Thirty minutes. No pitch.
We are holding thirty-minute conversations with people who run work where AI is changing who does what: a service, a team, a creative process. We ask where AI and human value are pulling apart for you, and what you would want from a standard that took that seriously. Nothing is sold and nothing is certified.
Read the transcript
Let's say someone rings your organisation the week after their partner has died. The paperwork is routine. Errors can be corrected. On paper, it's ideal for automation.
But the value of that call isn't only the correct outcome. It's that somebody noticed. Somebody cared. Somebody could answer this person, not just this category of case.
I'm Ray Mead. For the past year I've been working on a question that often gets skipped. Not just what can we automate, or is it safe, but where do people still matter in the value chain, and why?
Sometimes a human should stay in the work because the risk is high. Sometimes because judgement is needed. And sometimes because the human contribution is the value. Three different reasons, and in my experience organisations mostly measure the first.
I'm building Lúwāra to help organisations see that difference, and to test whether it can be assessed fairly. It's AI-positive. More human effort is not the goal. Appropriate AI, and people where they matter, is.
It's early. The framework is a work in progress, and I'm looking to develop it and test it against real work.
So, this is an ask. If you run work where AI is changing who does what, a service, a team, a creative process, I'd like thirty minutes. No pitch. I'll ask where AI and human value are pulling apart for you, and what you'd want from a standard that took that seriously. In return, I'll share what I learn from every one of these conversations.
The link's below. Or just reply here. Thank you.
Book a conversation
Replies help shape the framework. We will not add you to the newsletter unless you ask.
03
What Lúwāra is building
A standard for the value that other standards do not see.
Lúwāra is developing a standard and an assessment approach for organisations that use AI. It looks closely at how work and decisions are shared between people and AI, and builds towards a judgement about the organisation as a whole.
It is designed to complement legal, risk and management standards by testing something more specific: whether the human value being claimed is actually present.
The proposed assessment would provide an evidence-led report identifying strengths, weaknesses and opportunities for improvement across Human Experience, Human Contribution and Human Authority. It would help organisations understand where their approach to AI supports human value, where it may be eroding, and what needs attention.
Organisations meeting the eventual standard would also be eligible for public recognition through the HUMAN MATTER™ marque. The audit method and certification rules do not yet exist; developing and testing them is part of our roadmap.
Lúwāra would assess an organisation’s approach to AI and to human value, not the technical quality of its AI systems.
Help shape what comes next
If this is your question too, let’s talk.
An emerging framework, still in development. We're looking for people to help test and shape it.
We are inviting organisations and individuals to help test the hard cases and shape a credible, useful standard.
Pilot organisations
Bounded, no-fee method trials that test the approach against real evidence. No credential is awarded at this stage.
Founding contributors
People in AI, governance, work, culture, assurance and human rights.
Open conversations
Leaders confronting places where AI capability and human value pull apart.
Why I started Lúwāra
I started Lúwāra to explore a question that technology alone cannot answer: what should progress preserve and strengthen in human life? The aim is not less AI, but more deliberate choices about where it adds value and where human contribution is itself the value.
Lúwāra is partly built with AI as well as being about it. I use AI collaborators for drafting, research and technical build. I write the argument, make every decision about the framework, and personally sign off everything that goes out. That is the test we ask of others, applied to ourselves.
Ray Mead, Founder