Harry has a passion for ethical, inclusive & data-driven product design and lead efforts within Elsevier to implement our RELX Responsible AI & Data Science Principles. He works on embedding principles of fairness, accountability, transparency, explainability & mitigation of harms into our data science ways of working, developing organization-wide best practices and process for ethical use of data and technology. Harry is also chair of the Elsevier AI Ethics Board. His background is in mathematics & statistics, completing a PhD in biostatistics at Imperial College before beginning a career in data science and then focusing on Responsible AI.
