AI with people in view
AI adoption should support people’s work and access to services. It should not reduce people’s ability to understand what is happening, question a decision or retain meaningful control over their information.
Humane Technology Design
Digital human rights first
AI is changing how organisations work, make decisions and serve people. Our focus is not only on what AI can do, but on how it is introduced, governed and experienced.
Field One helps organisations design AI enabled services and ways of working that protect human agency, privacy, security and the ability to make informed choices.
Know the field.Design how business and technology serve people.
Filmed by Cottonbro Studio.
Where are you with AI? Start from there.
We combine service design, research and facilitation to help teams identify where AI can be useful, where it needs careful safeguards and where a human decision should remain central.
AI readiness and directionBefore adoption
Clarifying opportunities, limits, risks and priorities before adoption, so you know where AI can help and where a human decision should stay central.
Rights first service designDesigning
Designing AI enabled services around people’s needs, context, privacy, security and agency.
Responsible AI governanceGoverning
Creating practical principles, roles and decision processes for selecting, using and reviewing AI systems.
Practical preparation for the EU AI Act: AI literacy, human oversight and clear accountability.
Co-design and organisational learningLearning
Bringing leadership, teams, users and affected communities into the work, while building AI literacy and practical judgement.
Evaluation and improvementAfter launch
Looking beyond efficiency to assess clarity, accessibility, trust, fairness, security and everyday impact.
Our position
Privacy and security are baseline requirements
Privacy and security are not features to add at the end of a project. They shape the starting point.
This means using only the data needed for a clear purpose, considering security and access from the outset, making responsibility visible and assessing how a system may affect dignity, fairness, inclusion and autonomy.
AI is a choice
AI is designed. People in organisations choose what it does, whose values it carries and how fast it moves. Before any build, we ask what Virginia Dignum calls Question Zero: is AI the right option here at all? Asking why comes before asking how.
Once AI is in use, three questions keep it accountable.
Who decides?
Identifiable people in identifiable organisations. Naming them keeps responsibility visible.
What evidence?
Claims about risk and benefit need testing by someone independent, with real access to how the system works.
Which remedy?
Clear rules, verification and liability, set up so the responsible option is also the easy one.
Governance is how we decide what to build, who answers for it, and how we correct course.
Virginia Dignum, Umeå University AI Policy Lab
Guided by MyData principlesPart of the MyData Global communityPrinciples
Our approach draws on the MyData Declaration and its commitment to a human centred, ethical approach to personal data. People should be able to understand, influence and benefit from the use of data about them.
Read the MyData Declaration ↗From principles to practice
Work can begin with a focused workshop, an AI service review, a policy or governance discussion, or a longer design and transformation process. The aim is straightforward: help organisations use AI with care, build internal capability and make decisions that people can understand and trust.
Contact
A name, the challenge, and a rough timeline are enough to start.
Book a 30-minute conversation