Dr Hadley Beresford

Information School

Lecturer in Data Science, AI and Society

A staff photo of Hadley Beresford
Profile picture of A staff photo of Hadley Beresford
hadley.beresford@sheffield.ac.uk

Full contact details

Dr Hadley Beresford
Information School
The Wave
2 Whitham Road
Sheffield
S10 2AH
Profile

I’m a Lecturer in Data, AI, and Society at the Information School and started October 2024. I’m interested in public sector use of AI, and how the public sector can work towards more responsible and sustainable use of AI and similar data-driven systems. I received my Ph.D. in Interdisciplinary Social Science in 2024 from The Sheffield Methods Institute at the University of Sheffield, in which I explored socio-technical algorithmic bias mitigation strategies in the public sector, conducted in partnership with the UK Department of Work and Pensions (DWP), with funding from the Data Analytics and Society CDT.

Prior to starting my current role, I held a variety of teaching and research positions, including the FRAIM project (AHRC funded) and Patterns in Practice project (AHRC funded). I am currently working with the DWP to develop a co-designed Algorithmic Impact Assessment Toolkit for mitigating algorithmic bias in a government welfare department (ESRC IAA funded).

Prior to my academic career, I worked in the games industry as a Games Designer and Technical Artist and taught visual scripting methods on the BA Games Design course at the University of South Wales from October 2013 to July 2014. 

Research interests

My research interests include understanding the ethical implications of artificial intelligence and algorithmic technologies in the public sector, with the aim of influencing organisational policy and working practices relating to responsible AI and generating actionable knowledge for industry partners. Ethical issues in this area I find of particular interest include discrimination, sustainability, the impact of these systems on the climate, and how socio-technical understandings of these systems such as the FATES framework can be adopted to mitigate the risks associated with these systems. Additionally, I’m interested in how responsible AI working practices can be integrated at organisational and project level.

Publications

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