Researcher & Writer, Human-Centred AI
I study how people and AI systems make decisions together — and write about it for everyone, not just other researchers.
I'm a research scientist working on human–AI collaboration, fairness and trust. My work combines field studies with machine learning to understand when people should rely on algorithms and when they shouldn't. I also write a monthly column on technology and society, and advise non-profits on responsible AI adoption.
2022
Sep 2022 – Present
2019
Oct 2019 – Aug 2022
A field study of how clinicians use AI risk scores, and when explanations actually help.
An open toolkit that rewrites model explanations for non-expert audiences.
Conference on Human Factors in Computing
A year-long field study showing how uncertainty displays change clinicians' reliance on AI risk scores.
Journal of Responsible Technology
Measuring whether simplified explanations help people outside the field understand automated decisions.
Sit with the people affected before touching the data.
A narrow, answerable question beats a vague, important-sounding one.
Lab results are a hypothesis. Field studies are the answer.
If the findings can't be explained simply, the work isn't finished.
University College London
University of Lagos
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