Geoff Keeling is a Research Fellow in AI Ethics at Stanford University. He is based in the Center for Ethics in Society and the Institute for Human-Centered Artificial Intelligence. Geoff’s work is about the safe and ethical design of emerging technologies. His current research is about the ethical design and regulation of machine learning in medicine; and the ethics of automated vehicles. Geoff’s broader interests include ethical decision-making under uncertainty, alongside foundational questions about the nature of rationality, reasons, evidence, and probability. Prior to Stanford, Geoff worked at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. He studied philosophy at the London School of Economics and the University of Bristol.