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Caitlin Bentley

Dr Caitlin Bentley

Lecturer in AI Education

Research interests

  • Computer science

Biography

Caitlin Bentley is a Lecturer in AI Education, actively shaping the future of responsible AI through education. She is a member of the Delivery Team on the UKRI Responsible Artificial Intelligence UK (RAI UK) programme. Previously, she served on the UKRI Trustworthy Autonomous Hub Skills Committee, Syllabus Lab, and EDI working group.

As a newly appointed co-director of the UKRI Safe and Trusted AI Centre for Doctoral Training, and ex officio member of MASSPeople, the first international working group establishing competency frameworks and standards for remote and autonomously enabled marine surface vessels, Caitlin contributes to initiatives that nurture the next generation of experts in safe and trusted AI, promoting responsible innovation and ethical practices.

Caitlin's multi-disciplinary academic background includes prior positions at the University of Sheffield, the 3A Institute at Australian National University, and Nanyang Technological University, Singapore. Her academic journey includes a PhD in Human Geography, ICT4D, from Royal Holloway, University of London, a Masters in Educational Technology from Concordia University, and a BA in Computer Science from McGill University. Beyond academia, Caitlin's professional experiences in international development and the technology sectors have taken her to Canada, the UK, Africa, and the Asia-Pacific region. This background allows her to bring a global perspective and an appreciation for diverse cultures and contexts to her work.

Research interests

  • Responsible AI education
  • Participatory design and governance of AI
  • AI for social good
  • Information and communications technologies for development
  • Constructivist education and learning environments

Further information

 

    Research

    sustainable ai_st_1428308240 copy
    Sustainability Hub

    The Sustainability Hub consolidates the research related to sustainability

    AI network
    Distributed Artificial Intelligence

    The group explores the use of AI in social and economic contexts where an intelligent entity may be interacting with other entities.

    RAI UK
    Responsible AI UK

    A multidisciplinary network of researchers, industry, policy makers, and organisations, working to ensure AI development is carried out with due responsibility.

    Project status: Ongoing

    News

    King's awarded £5m UKRI funding for AI research

    King’s have been awarded £5m in funding from UK Research and Innovation (UKRI) as part of a £31m investment across universities to develop trustworthy and...

    AI main image

      Research

      sustainable ai_st_1428308240 copy
      Sustainability Hub

      The Sustainability Hub consolidates the research related to sustainability

      AI network
      Distributed Artificial Intelligence

      The group explores the use of AI in social and economic contexts where an intelligent entity may be interacting with other entities.

      RAI UK
      Responsible AI UK

      A multidisciplinary network of researchers, industry, policy makers, and organisations, working to ensure AI development is carried out with due responsibility.

      Project status: Ongoing

      News

      King's awarded £5m UKRI funding for AI research

      King’s have been awarded £5m in funding from UK Research and Innovation (UKRI) as part of a £31m investment across universities to develop trustworthy and...

      AI main image