Data and data privacy impact assessments in the context of AI research and practice in the UK
Gilbert, Fiona J Palmer, Jo Woznitza, Nick Nash, Jonathan Brackstone, Carla Faria, Lisa Dunbar, J Kevin Hogg, Henry David Jeffry Liu, Xiaoxuan Denniston, Alastair K
Gilbert, Fiona J
Palmer, Jo
Woznitza, Nick
Nash, Jonathan
Brackstone, Carla
Faria, Lisa
Dunbar, J Kevin
Hogg, Henry David Jeffry
Liu, Xiaoxuan
Denniston, Alastair K
Abstract
Artificial intelligence (AI) projects in healthcare research and practice require approval from information governance (IG) teams within relevant healthcare providers. Navigating this approval process has been highlighted as a key challenge for AI innovation in healthcare by many stakeholders focused on the development and adoption of AI. Data privacy and impact assessments are a part of the approval process which is often identified as the focal point for these challenges. This perspective reports insights from a multidisciplinary workshop aiming to characterise challenges and explore potential solutions collaboratively. Themes around the variation in AI technologies, governance processes and stakeholder perspectives arose, highlighting the need for training initiatives, communities of practice and the standardization of governance processes and structures across NHS Trusts.
MIDER Authors
Affiliations
University of Cambridge; University Hospitals Birmingham NHS Foundation Trust; University College London Hospitals NHS Foundation Trust; Canterbury Christ Church University; Kheiron Medical Technologies; University Hospitals Sussex NHS Foundation Trust; British Society of Breast Radiology; NHS England; University of Birmingham
Date
2025-04-16
Type
Article
Subject
Collections
Citation
Gilbert FJ, Palmer J, Woznitza N, Nash J, Brackstone C, Faria L, Dunbar JK, Hogg HDJ, Liu X, Denniston AK. Data and data privacy impact assessments in the context of AI research and practice in the UK. Front Health Serv. 2025 Apr 16;5:1525955. doi: 10.3389/frhs.2025.1525955.