Who gets to shape
the future of AI —
and who is left out?
Artificial intelligence is rewriting the rules of authorship, labour, law, capital, and choice. But the rules are not being written equally. Across developed, developing, and emerging economies, the people who bear the greatest risk from AI are the least represented in the rooms where it is designed, governed, and deployed.
Co-Creating Code is a principle as much as it is a conference. Code is language. Code is law. Code is data. In each of these forms, the same question recurs: whose realities are written in, and whose are written out?
This conference brings mental models, lived understanding, and human empathy into the qualitative and quantitative space where codes are created collaboratively. Responsible innovation and good governance cannot be designed around those who are already coded in. They must be built with, and accountable to, those who are not.
"The future depends on what you do today."
Hidden Voices
How do we code them in?
The people most affected by AI are often the least visible in the systems that govern it. Co-Creating Code 2026 brings together scholars, practitioners, policymakers, and communities from across the world to change that. Not through declarations, but through transdisciplinary inquiry that blends visual, qualitative, and quantitative evidence to produce governance frameworks grounded in collective lived experience.
Gender and Capital
Women founders face disproportionate funding gaps. AI systems trained on historically male-dominated datasets perpetuate and amplify existing inequalities in access to capital and opportunity. We examine how to code equity in.
Labour and Automation
Youth enter labour markets shaped by automation before safeguards are fully defined. Informal labour markets in the Global South face particular vulnerability. We ask how governance can move at the speed of change.
Language and Representation
Communities outside dominant language groups are frequently excluded from training data and platform design, rendering their knowledge, culture, and needs invisible to AI systems. We explore what genuine inclusion requires.
Regulatory Capacity
Fragile regulatory environments in developing economies struggle to keep pace with AI deployment, leaving communities exposed without adequate legal or institutional recourse. We work toward enforceable, practical frameworks.
The Cambridge Co-Creation Lab
Code is language.
Code is law.
Code is data.
Equality and inclusion are not assumed. They are produced through transdisciplinary inquiry: visual, qualitative, and quantitative insights woven together to reveal what single disciplines miss. The Cambridge Co-Creation Laboratory, founded by Professor Nazia Habib, grounds this work in collective lived experience. Co-creation begins with a genuine commitment to the knowledge and realities that people carry, builds shared understanding across researchers, policymakers, and communities, and moves through collaborative work to deliver practical solutions that reflect the full breadth of human experience.
Lived Experience First
We begin with what people know and live. Not abstractions, but the conditions, cultures, and contexts that shape how code as language, law, and data is experienced across the world.
Transdisciplinary Inquiry
Visual, qualitative, and quantitative insights are woven together. Equality and inclusion emerge from this blend of methods, not from any single discipline working alone.
Shared Understanding
A sustained collective effort to build common ground across diverse stakeholders so that governance frameworks are genuinely co-owned and enforceable, not handed down.
Practical Action
From shared understanding to real-world solutions within defined constraints. Moving from ethical commitment to accountable action that communities can hold institutions to.
The Co-Creation methodology will be taught in full during the certified workshop on Day 2. View the programme.