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 an independent standard and assessment approach for organisations using AI—recognising those that preserve meaningful human contribution to the value chain.
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 an evidence-based, auditable one.
Human Contribution
Where do judgement, authorship, care, craft, context, relationship and accountability create the value?
Human Assurance
Can people trust the claims made about provenance, human involvement and meaningful human control?
03
What Lúwāra is building
A credible standard for the value that other standards do not see.
Lúwāra is developing a standard and independent assessment approach for defined products, services, processes and value-chain stages.
It is designed to complement legal, risk and management standards by testing something more specific: whether the human value being claimed is actually present.
A future certification decision would require evidence that AI use is intentional and proportionate; human authority is real where decisions matter; provenance and authorship are truthful; and automation has not hollowed out the human capability on which the value depends.
Help shape what comes next
If this is your question too, let’s talk.
We are inviting organisations and individuals to help test the hard cases and shape a credible, useful standard.
Pilot organisations
Bounded, no-fee early audits that help test the method against real evidence.
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.