Bio
Dr Erin Lorelie Young is Project Co-Lead and 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 R&D projects. Previously, Erin held positions at the United Nations (UN IIEP-UNESCO) in Paris, Kantar/WPP in London, Thomson Reuters in New York City, and Stanford University. She has a PGC in International Business Practice, Finance and Organisational Behaviour, and has 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 a BA in Classics from the University of Cambridge.
Erin’s selected invited lectures, talks, and presentations include:
‘Explainable and Trustworthy AI’ and ‘AI Skills and Training’, Invited Panel Chair, ‘Exploring our AI Potential’ UK-Romania Conference, UK Science & Innovation Network/British Embassy Bucharest, Bucharest, Romania, February 2024.
‘How does the inclusion problem in AI shape innovation and impact regulation? Challenges for policymakers, the private sector and civil society’, Invited talk, Frontiers of Artificial Intelligence, The Royal Society of Canada/The Royal Society, Ottawa, Canada, February 2024.
‘Information and Misinformation in the Present: AI, women and Venture Capital’, Invited Keynote, UK Science & Innovation Network/British Embassy Dublin, County Kildare, Ireland, February 2024.
‘Shaping ethical AI: the importance of investment and inclusion in the STEM workforce’, Invited talk, Workforce Skills Conference, Science Council, October 2023.
'Shaping technological innovation', Invited Keynote, 1st International Seminar of Women in Intellectual Property (IP), Associação Brasileira da Propriedade Intelectual (ABPI), Rio de Janeiro, Brazil, March 2023.
‘Diversity in AI’, Invited lecture, Northern Lights Deep Learning Conference (NLDL 2023), UiT The Arctic University of Norway, Tromsø, Norway, January 2023.
‘Ethics and culture in the AI field’, Invited panellist, The AI Summit, New York, USA, December 2022.
‘The Future of Women in Technology’, Invited talk, Opening of the Norwegian-British Women in Tech Business network, The British Embassy, Oslo, Norway, May 2022.
‘Where are the women? Mapping the gender gap in data science’, Invited lecture, HMRC Data Science Conference, December 2021.
‘Exploring gender gaps in AI’, Invited talk, Committee on Women's Rights and Gender Equality (FEMM), ‘Building an inclusive economy for women in the green and digital transformation’, Conference on the Future of Europe, October 2021.
‘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 panellist, Ethics & Society stage, CogX, June 2021.
‘Where are the Women? Mapping the Gender Job Gap in AI’, Invited talk, 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 talk, 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 interested in the social, economic and governance-related implications of technologies, particularly Artificial Intelligence (AI), machine learning and other data-driven innovations. Her impact-focussed work sits at the intersection of technology, society and policy, drawing from Science and Technology Studies (STS), organisational sociology and mixed methods research, exploring responsible AI design, social data science for policy-making, and technological innovation across government and industry. Erin is passionate about tackling pressing societal and economic issues and generating responsible impact with AI by forging strong relationships internationally between academia, government and the private sector.