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AIDE research aims to understand the human factors that will help or hinder the implementation of Artificial Intelligence and data driven technologies (AI) in healthcare; identify how stakeholders expect AI to change lives and impact healthcare experience; and determine how concerns might be resolved to promote acceptance and adoption of data-driven technologies. We study the perspectives of researchers, health care workers, members of the public, AI developers, and policy experts to inform strategies for stakeholder involvement in the future of AI implementation, development and use within healthcare, and improve trust.
Between 2019 and 2023 we explored the development and use of AI systems in healthcare settings in Oxford (UK) and Osaka (Japan) and consulted with various stakeholders, including members of the public, to understand:
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Knowledge and experience of AI, current and anticipated use in healthcare, and other valuable applications
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How people learn about developments
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Factors perceived to influence adoption/implementation
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What safeguards, controls or types of engagement would inspire trust.
This research underpins our suggested mechanisms for a sustained societal dialogue around the use AI in healthcare.
Click here to read more about our research approach
This work was led by researchers based at the University of Oxford in collaboration with colleagues at Osaka University. It was supported by UK Research and Innovation’s (UKRI) Fund for International Collaboration (FIC) in a joint UK-Japan initiative (Project Reference ES/T007214/1). In Japan the research was supported through the Institute of Science and Technology (JST) with the aim of "designing a sustainable platform with the involvement of citizens and experts to bring the benefits of AI in healthcare to all."
The programme name "AIDE" is an abbreviated version of the English name of our 2019-2023 project "The Benefits of Ensuring AI in Healthcare for All: Designing a Sustainable Platform for Public and Professional Stakeholder Engagement". The acronym reflects our hope that our reserach will aid the engagement of key stakeholders in the increased use of AI and data driven technologies in healthcare.
