Problem
Few technologies have moved as quickly, or reached as deeply into everyday life, as artificial intelligence. Yet a purely technical account of AI misses what matters most: the human judgements, organisational practices and social consequences that determine whether these systems serve people well. Our research approaches AI as a human-centred phenomenon, examining not only what AI can do but also how it's imagined, built, deployed and held to account.
Science
We explored the relation between AI and society in a range of different research projects. We used in-depth interviews with AI developers to understand how they think about ethics while they're building. We also examined how people think about AI itself, either as a fixed, finished thing and or instead as something whose effects are produced through ongoing relations between people, data and machines. Finally, we tested whether AI could take on a specific clinical role in NHS breast-screening services: acting as a second reader in the process where two doctors each check a scan independently before a third steps in if they disagree.
Outcome
Each study produced a clear finding. AI developers imagine the moral consequences of their work in two distinct ways. Some set ethical concerns aside and trust that safeguards will catch problems later. Others fold ethical thinking directly into the design process. Moral engagement in AI design itself can be a constructive part of the work, not a brake on creativity. The choices organisations make about how they use AI matter as much as the technology they choose. AI's effects are not fixed in the technology alone. They depend on the people, data and processes around it. Even though human arbitration in breast cancer screening occasionally overruled correct AI recalls, our findings suggest that using AI as a second reader can help ease unsustainable staff workloads and, potentially, improve patient outcomes in the NHS.
Change
Responsible AI isn't a feature you add at the end. It's built-in from the start, by developers who treat ethical thinking as part of the design process. It's shaped by how organisations frame and deploy the tools they adopt. Our research shows that AI can ease real pressures, including the staffing shortages putting NHS breast-screening services under strain, but only when the human decisions around it are made carefully. Our research gives organisations building AI tools the evidence needed.
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