Bio

Erin Lorelie Young is a Postdoctoral Research Fellow in the Public Policy programme. She has a Ph.D. (D.Phil) from the University of Oxford, where she studied the socio-technical practices of interdisciplinary research and development projects building new technologies. Prior to joining the Turing, Erin was an H-STAR Visiting Researcher at Stanford University, and a Researcher at the Oxford Internet Institute, working on various projects including investigating the potential of AI for lifelong learning.

Erin has also held positions as a Consultant at the United Nations (IIEP-UNESCO) in Paris, Kantar in London, and 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’s selected invited lectures, talks, and presentations include:

‘Mapping gender gaps and inequalities in data and AI’, Invited talk, Covid-19 Task Force, Cabinet Office, September 2021.

‘Data Innovation at the Bank of England’, Invited panellist, Bank of England, August 2021.

‘Women in Data Science and AI: Mapping the gender job gap,’ Invited Lecture, Turing Talks for GCHQ Staff, GCHQ, June 2021.

‘If it’s not diverse, it’s not ethical’, Invited panel member, Ethics & Society stage, CogX, June 2021.

‘Where are the Women? Mapping the Gender Job Gap in AI’, Invited talk, ‘Let's Multiply: Data Science Community of Interest’ (International Day of Women and Girls in ICT), Data Science Campus, Office for National Statistics (ONS), April 2021.

‘Gender Bias in AI: Women in Data Science and AI at The Alan Turing Institute,’ Invited Lecture, Civil Service Fast Stream, Digital, Data, Technology and Cyber Winter Conference (DDaTCon), February 2021.

‘Online learning for all: Can digital literacy be used to leapfrog illiteracy?,’ Invited Lecture, Second Chance Education and Vocational Learning Programme (SCE), United Nations (UN Women), December 2020.

‘Building inclusive technology and diverse workplaces through data,’ Invited Lecture, ‘Diversity, inclusion and fairness in safety tech’, Safety Tech Innovation Network, KTN, Department for Digital, Culture, Media and Sport (DCMS), November 2020.

Research interests

Erin is a mixed methods researcher interested in the social 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, and the social shaping of technology.