Anthropology · Human Behaviour · Artificial Intelligence
Understanding Human Behaviour in the Age of Artificial Intelligence.
I research how people make decisions, negotiate trust and experience Artificial Intelligence in everyday life. My work sits at the intersection of Anthropology, Medical Anthropology, Digital Anthropology, Human Behaviour, Human-Centred AI and Public Policy.
Mission
To understand how humans make decisions, negotiate trust and experience Artificial Intelligence — so that technology, healthcare, organisations and public policy are designed around real human experiences rather than assumptions.
Research
Work organised around questions, not disciplines.
- 01
Decision-Making
How do people actually decide when an algorithm is part of the room?
- 02
Digital Trust
What has to be true before a person is willing to rely on a system they cannot see?
- 03
AI in Healthcare
Whose knowledge counts when clinical judgement is mediated by machines?
- 04
The Imagined User
Which human is policy actually designing for, and who is left outside the frame?
Position
Technology is never the centre of this work. Humans are. Technology is the context through which human behaviour becomes visible.
Most conversations about artificial intelligence begin with the system: its accuracy, its speed, its scale. Anthropology begins somewhere else — with the nurse who hesitates, the student who quietly opts out, the policy document that describes a citizen who does not exist.
That difference in starting point is the whole argument. Systems fail less often because the mathematics is wrong and more often because the assumptions about people were never examined.
Read the longer argumentNDU
The research hub, and a guide you can question.
NDU gathers the five research themes, the case studies behind them and the published writing in one place — with a research guide that answers questions from that material, and a feed of the exchanges worth keeping.
Enter NDUBlog
Updates as the work develops.
Dated notes on the ongoing research, on South African AI policy as it changes, and on career progress — written while the work is still in motion.
Read the blogCollaboration