Bringing human values into AI innovations
We challenge the notion that AI innovations do not emerge in a vacuum, they are shaped by human assumptions, organisational pressures, and social power dynamics. By centring care, fairness, and contextual sensitivity, we help organisations move from abstract principles to meaningful practices. Bringing human values into AI innovation means recognising the moral and political dimensions of technical work and making space for reflection, contestation, and accountability at every stage.
Trainings and Workshops
Build foundational and domain-specific literacy in Responsible AI.
Advisory & Bespoke Consulting
Shape responsible AI strategies, frameworks, and decision processes within your organisation.
Speaking Engagements
Inspire, challenge, and start critical conversations about AI and responsibility.
The power of a socio-technical AI approach
At the Responsible AI Collective, we take a socio-technical approach to AI. We understand that AI systems are not just made of models, data, and infrastructures- they are embedded within complex networks of human judgement, institutional power, social values and material conditions.
Our mission
Our mission is to mainstream responsible AI; not as a compliance obligation, but as a critical organisational capability. We work with teams to foster ethical awareness, cultivate reflexivity and co-create strategies for socially responsible and context-specific AI adoption.
Our values
For us:
Context matters because we reject one-size-fits-all approaches. What counts as responsible AI is shaped by organisational goals, sectoral risks and social context.
Collaboration over compliance as we believe in engaging across roles and departments, not simply meeting checklists, but fostering shared ownership of responsible AI.
Justice and inclusion by centring questions of power, access, and equity in every project because AI systems can reproduce or resist social injustice.
Care and rigour by combining academic depth with practical support, always approaching AI work with integrity and intellectual honesty