Responsible AI for Health and Social Care

   Faculty of Engineering and Informatics

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  Prof Daniel Neagu  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Issues of trust and transparency in data-driven and automated decision support are still to be consistently measured and validated for fairness and effectiveness.

This research project explores solutions to define, characterise, evaluate and test AI algorithms, building on our current expertise in machine learning, explainable AI, data and model governance and their applications. Quantitative and qualitative measures will encompass Explainability, Efficiency, Efficacy, Confidence and Trust in data and machine learning resources among other concepts. The project also explores their validation through a number of case studies for health and social care with a focus on pandemic (e.g. Post-COVID) era. These will help understanding and developing valuable personalised AI systems for the benefit of personal users and wider communities.

As a PhD student you will join our dynamic and motivated Artificial Intelligence Research (AIRe) Group comprising PhD and taught students and interns, postdoctoral researchers, academic staff. The multidisciplinary research theme will involve experts in AI and Machine Learning, Big Data Science and Technology, Mathematics, Statistics, Psychology, Health and Social Care, Bioinformatics, Economics to assess data and models resources.

You will have the opportunity to present your work at conferences and research events; publish contributions in scientific journals; participate in academic and industry activities. The University of Bradford is offering a comprehensive doctoral training environment.
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