Our Research

 
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Click below to explore our research themes

 

Ethics of Algorithms

  • Algorithmic Transparency and Explainability

  • Algorithmic Justice, Power, Freedom and Equity

  • Bias and Discrimination in Machine Learning

  • Ethics of Algorithmic Decision-Making

  • Algorithmic Accountability and Responsibility

Ethics of Human-Machine Interactions

  • Ethics of Automation

  • Ethics of Artificial Agent and Robot Design

  • Al 'Smart' Tech and Environments

  • Ethics of Affective and Social Technologies

  • Ethics of Knowledge Augmentation

Ethics and Politics of Data

  • Dataveillance and Data Privacy

  • Data Justice and Data Violence

  • Ethics or Data Ownership, Governance and Stewardship

  • Ethical Data Science and Data Practice

Emerging Technology and Human Identity

  • Emerging Tech and the Human Image

  • Al, Automation and Human Wisdom

  • Emerging Tech and Human Autonomy

  • Al, Religion, Art and Meaning

Emerging Technology, Health and Flourishing

  • Emerging Tech and Democratic Flourishing

  • Emerging Tech and Human Flourishing

  • Emerging Tech and Community Flourishing

  • Emerging Tech and Cultural Flourishing

  • Emerging Tech and Planetary Flourishing

PhD Research

Innovative PhD studentships in the Ethics of Data and AI, supervised by multi-disciplinary teams across the University:

 


 

Faculty Research

 

 Research Outputs

 

Published

Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners, Claire Barale, Michael Rovatsos and Nehal Bhuta, Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2023, Toronto, Canada ๐Ÿ”—

The Student as User: Insights from a Student-Level View of Platformisation and Data Assetization in Higher Education, Joe Noteboom, presented at Digital Rentiership and Asset-Making in Higher Education and Beyond Workshop, Lancaster University, 17 May 2023.

Science in the Age of Large Language Models, Abeba Birhane, Atoosa Kasirzadeh, David Leslie, and Sandra Watcher, Nature Reviews Physics, 2023 ๐Ÿ”—

In conversation with Artificial Intelligence: Aligning language models with human values, Atoosa Kasirzadeh & Iason Gabriel, Philosophy and Technology, 2023 ๐Ÿ”—

A Theological Account of Artificial Moral Agency, Ximian Xu, Studies in Christian Ethics, 2023 ๐Ÿ”—

How to Make Sino-Reformed Theology Possible? Retrieving Abraham Kuyperโ€™s Proto-Reformed Contextual Theology, Ximian Xu, Journal of Chinese Theology, 2022 ๐Ÿ”—

Skill and self-knowledge: Empirical refutation of the dual-burden account of the Dunningโ€“Kruger effect, Robert D. Mackintosh, Adam B. Moore, Yuxin Liu and Sergio Della Sala, Royal Society Open Science, 2022 ๐Ÿ”—

Confessing Faith: Freedom of Conscience, Actualized Confession of Faith, and Confessional Allegiance, Ximian Xu, Horizons, 2022 ๐Ÿ”—

Human-centered computing in legal NLP - An application to refugee status determination, Claire Barale, Proceedings of the Second Workshop on Bridging Humanโ€“Computer Interaction and Natural Language Processing, 2022 ๐Ÿ”—

Virtues in the Digital Age, Shannon Vallor, The Oxford Handbook of Digital Ethics (ed. Carissa Vรฉliz), 2022 ๐Ÿ”—

The Oxford Handbook of Philosophy and Technology, Shannon Vallor (ed.), 2022 ๐Ÿ”—

Artificial moral advisors: A new perspective from moral psychology, Yuxin Liu, Adam B. Moore, Jamie Webb and Shannon Vallor AIES โ€™22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022 ๐Ÿ”—

A Bayesian multilevel analysis of belief alignment effect predicting human moral intuitions of artificial intelligence judgements, Yuxin Liu and Adam B. Moore, Proceedings of the Annual Meeting of the Cognitive Science Society, 2022 ๐Ÿ”—

Taxonomy of Risks posed by Language Models, Atoosa Kasirzadeh (with Laura Weidinger et al.), FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022 ๐Ÿ”—

Algorithmic and human decision making: for a double standard of transparency, Mario Gunther and Atoosa Kasirzadeh, AI & Society 37(1), 2022 ๐Ÿ”—

Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy, Atoosa Kasirzadeh, AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022 ๐Ÿ”—

Algorithimic Bias: What is it and what can we do about it? Savina Kim, Smart Data Foundry online panel discussion, 2022 ๐Ÿ”— 

What is Algorithmic Bias and Why Should We Care?, Bailey Kursar and Savina Kim, Smart Data Foundry (2022) ๐Ÿ”—

The predictive reframing of machine learning applications: good predictions and bad measurements, Alexander Martin Mussgnug, European Journal for Philosophy and Science 12(3), 2022 ๐Ÿ”—

Smart Cities in India: Of Data Governance and Democratic Deficits, Aditya Singh and Divij Joshi, Bot Populi, 2021 ๐Ÿ”—

Pandemic Public Engagement: An Ethical Analysis, Jamie Webb, UK Pandemic Ethics Accelerator (2021) ๐Ÿ”—

Existentially Adverse Outcomes from AI in the Global South, Aditya Singh and Daniel Vale, Medium, 2021 ๐Ÿ”—

Siblings and Discordant Eligibility for Gene Therapy Research: Considering Parental Requests for Non-Trial โ€œCompassionate Useโ€, Jamie Webb, Lesha D. Shah and Alison Bateman-House, Clinical Ethics 16(4), 2021 ๐Ÿ”—

Living and dying with covid: resolving the hard questions of living with covid-19 โ€“ the need for public deliberation, Jamie Webb, Hugh Whitall, Pandemic Ethics Accelerator, 2021 ๐Ÿ”—

When it Comes to Covid Vaccination, the Terminally Ill Shouldnโ€™t Be Forgotten โ€” They Should Be Prioritized, Jamie Webb, Medium, 2021 ๐Ÿ”— 

Siri, Talk Dirty to Me : The Ethics of Conversational AI, Aditya Singh, Trilateral Research: Ethical AI, 2020 ๐Ÿ”—

The Moderna Vaccine Story is a Cautionary Tale for Coronavirus Reporting, Jamie Webb, Bioethics Today, 2020 ๐Ÿ”— 

Ethically Allocating COVID-19 Drugs via Pre-approval Access and Emergency Use Authorization, Jamie Webb, Lesha D. Shah and Holly Fernandez Lynch, The American Journal of Bioethics 20(9), 2020 ๐Ÿ”—

Itโ€™s time to make ClinicalTrials.gov a better tool for patients. Hereโ€™s how., Jamie Webb, STAT, 2020 ๐Ÿ”— 

No Easy Answers in Allocating Unapproved COVID-19 Drugs Outside Clinical Trials, Jamie Webb, Lesha Shah and Holly Fernandez Lynch, The American Journal of Bioethics 20(9), 2020 ๐Ÿ”—

Unpacking Policy Moves for Sovereign Control of Data in India, Arindrajit Basu, Elonnai Hickok and Aditya Singh, CyberBRICS, 2019 ๐Ÿ”—

Putting placebo-controlled trials in developing countries to the interpersonal justifiability test, Jamie Webb, Developing World Bioethics 19(3), 2018 ๐Ÿ”—

Forthcoming 

Human Sustainability in the Age of Technology: A Theological Proposal on Technomoral Human Futures, Ximian Xu, Issues in Science and Theology: Global Sustainability, forthcoming in 2023.

Reconciling the governmental use of online targeting with democracy, Atoosa Kasirzadeh (lead author Katja Andric), 2023 ACM Conference on Fairness, Accountability, and Transparency, forthcoming in 2023.

User Tampering in Reinforcement Learning Recommender Systems, Atoosa Kasirzadeh and Charles Evans, AAAI/ACM Proceedings of AI, Ethics, Society (AIES), forthcoming in 2023.

Ethical and Social Risks of Generative Text-to-Image Models, Atoosa Kasirzadeh, Charlotte Bird and Eddie Ungless, AAAI/ACM Proceedings of AI, Ethics, Society (AIES), forthcoming in 2023.

Empowering Refugee Claimants and their Lawyers: Using Machine Learning to Examine Decision-Making in Refugee Law, Claire Barale, International Conference on Artificial Intelligence and Law 2023 (ICAIL 2023) doctoral consortium, forthcoming in 2023.

Exploring university studentsโ€™ lived experiences of datafication, data literacies and the potential for collective data governance in UK higher education, Joe Noteboom, Data Justice Conference, Cardiff University, forthcoming in 2023.