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Data and data privacy impact assessments in the context of AI research and practice in the UK

  • Nick Woznitza
  • , Fiona J. Gilbert
  • , Jo Palmer
  • , Jonathan Nash
  • , Carla Brackstone
  • , Lisa Faria
  • , J. Kevin Dunbar
  • , Henry David Jeffry Hogg
  • , Xiaoxuan Liu
  • , Alastair K. Denniston

    Research output: Contribution to journalArticlepeer-review

    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.
    Original languageEnglish
    Pages (from-to)1525955
    JournalFrontiers in Health Services
    Volume5
    DOIs
    Publication statusPublished - 16 Apr 2025

    Keywords

    • Artificial intelligence
    • Data protection impact assessments
    • Governance
    • Healthcare
    • Implementation

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