Erin Lorelie Young is a postdoctoral research fellow on the Women in Data Science and AI project, within the Public Policy programme. She has a DPhil (PhD) from the University of Oxford, where she studied the socio-technical practices of interdisciplinary research and development projects. Prior to joining the Turing, Erin was an H-STAR Visiting Researcher at Stanford University, and a Research Assistant at the Oxford Internet Institute, working on various projects including investigating the potential of artificial intelligence (AI) for lifelong learning.
Erin has also held positions as a consultant at the International Institute for Educational Planning (IIEP) at UNESCO in Paris, and as an analyst for Kantar Consulting (WPP) in London, and for Thomson Reuters in New York City. She has a PGC in International Business Administration and Practice and Organisational Behaviour, and earned scholarships to study at the British Schools of Athens and Rome. She holds an MSc (Distinction) from the University of Oxford in Education (Learning and Technology), and an MA in Classics from the University of Cambridge.
Erin is interested in the social and ethical implications of technologies, particularly artificial intelligence (AI), machine learning and other data-driven innovations. Her work sits at the intersection of technology and society and draws from Science and Technology Studies (STS), in particular Actor-Network Theory (ANT), organisational sociology, ethnography, intersectional techno-feminism and the social shaping of technology. Her research at the Turing Institute examines the gendered practices mediating the data science and AI fields, considering the political and socio-economic roots of the networks that shape, deploy and govern AI systems and their applications. She investigates the factors which impact the position and role of women in data science and AI professions, and the systemic conditions and structural inequality of opportunity that perpetuate patterns of discrimination against women in these areas.