Jazmia Henry is a part-time DPhil candidate for the Social Data Science programme at the University of Oxford and accomplished Responsible AI Leader and technical contributor to the book “Mitigating Bias with Machine Learning” published by McGraw Hill. She is a Data and Applied Scientist at Microsoft and serves as Affiliated Technology Fellow with Stanford HAI. In Spring 2024, she will be co-instructing the certification course, “Innovating Inclusion in AI and AR” at Johns Hopkins. Formerly, she served as the Head of Machine Learning at Motley Fool and has 10 years experience as a Data practitioner. Her research interests include Explainable AI, Large Language Models, AI Alignment and AI Ethics.
Explainable AI, Large Language Models, AI Alignment and AI Ethics.
This OII research programme investigates legal, ethical, and social aspects of AI, machine learning, and other emerging information technologies.
27 October 2023
The OII is leading the debate on Artificial Intelligence. Generative AI has been a key area of interest for faculty, researchers and students for many years. This article brings together some of this work to date and highlights forthcoming work.
