Ethics Review of AI research

An approach to reviewing and revising existing governance structures

Datos Bibliográficos

ID21787618
AutoresAngeliki Kerasidou (0000-0001-9344-3297, University of Oxford, autor de correspondencia), Karen Melham (0000-0002-9581-4618, University of Oxford), Alberto Giubilini (0000-0001-5163-3017, University of Oxford), Charalampia Kerasidou (0000-0002-9794-8492, University of Oxford), Federica Lucivero (0000-0002-1308-5846, University of Oxford), Michael Morrison (0000-0001-6870-6673, University of Oxford), Antoniya Georgieva (0000-0002-5543-6683, University of Oxford), Andrew J Fletcher (0000-0003-2182-1089, University of Oxford), Mirae Harford (0000-0003-2851-1577, University of Oxford), Casey L Johnson (0009-0007-8972-8610, University of Oxford), Casey Johnson (University of Oxford), Jonathan Kaye (0000-0002-7311-4725, University of Oxford), Jane Kaye (University of Oxford), Robert M Klassen (0000-0002-1127-5777, University of Oxford), Robert Klassen (University of Oxford), Paul Leeson (University of Oxford), Fatima Ndanusa (University of Oxford), Christoffer Nellåker (0000-0002-2887-2068, University of Oxford), Alex Novak (University of Oxford), Daniel O’Connor (0000-0002-6902-9886, University of Oxford), John Powell (0000-0001-6124-439X, University of Oxford), Nabila Puspakesuma (0000-0003-3517-9103, University of Oxford), Sara Ratner (0000-0001-5145-4799, University of Oxford), Andrzej Rys (European Union), Abram Schonfeldt (University of Oxford), Andrew A S Soltan (0000-0003-2391-5361, University of Oxford), Carolyn Ten Holter (0000-0001-8739-3211, University of Oxford), Peter Thomson (0000-0002-0697-1866, University of Oxford), Patrick Thomson (University of Oxford)
Año2026
Volumen22
Número2
Páginas357-370
Fecha de publicación2026-04-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaResearch Ethics (JOURNAL)
Identificadores de la revistaISSN: 1747-0161 • E-ISSN: 2047-6094
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/17470161251406299
OpenAlexW4417424198
IdiomaEN
Referencias citadas37

The recent advancements in artificial intelligence (AI), and data science more broadly, have led to a proliferation of new methods and tools, such as machine learning (ML), that are used in all kinds of scientific research, from biomedical research through to environmental and education research. Research ethics review bodies are increasingly required to review AI research protocols that cover these different fields of enquiry. Questions have been raised regarding the appropriateness of existing ethics governance principles, practices, and processes to deal with the ethical challenges that AI and data science are introducing to research. Universities and research institutions across the world are trying to understand how to translate and practically implement broad AI ethical principles into research ethics governance guidelines and processes. In this article, we report on an expert stakeholders’ workshop organised at the University of Oxford as part of the process of reviewing its ethics governance for AI research. We describe the workshop and present the reflections and recommendations that emerged from it. The aim of the article is to share the approach taken by the University of Oxford CUREC in reviewing its ethics governance processes, and the insights gained with the broader research community, as a way of contributing to this scarce body of literature, facilitating further dialogue, promoting debate and collaboration on this important issue

Corporate governance · Ethical issues · Information ethics · Research ethics · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · Ethics in Clinical Research