Research Fellow (Fixed term)
Research Fellow in Responsible AI
This post is an opportunity to join Addressing Socio-technical Limitations of LLMs for Medical and Social Computing (AdSoLve), a prestigious new project addressing the socio-technical limitations of Large Language Models (LLMs) that challenge their responsible and trustworthy use, particularly in the context of medical and legal use cases ( https://adsolve.github.io/). The project is a large multi-disciplinary consortium project led by Prof Maria Liakata at Queen Mary University of London, along with the University of Nottingham, University of Sheffield, and the University of Warwick, with 21 external partners, including companies, NHS trusts, NHS England, AI hubs and CDTs. It is funded by UKRI and Responsible AI (RAi), a £31M strategic investment by the UK Government to create an international ecosystem for responsible AI research and innovation ( www.rai.ac.uk) led by the University of Southampton, with University of Nottingham and King’s College London as core partners.
AdSoLve aims to: 1) create an extensive evaluation benchmark for assessing the limitations of LLMs in real world settings, enabling our standards and policy partners to implement responsible regulations, and industry and third sector partners to robustly assess their systems. This will involve running co-creation and evaluation workshops throughout the project to create a co-production feedback loop with our stakeholders. 2) devise novel mitigating solutions based on new machine learning methodology, informed by expertise in law, ethics and healthcare, via co-creation with domain experts, that can be incorporated in products and services.
The post-holder will work on the responsible research and innovation work package to support co-production, co-led by Dr Aislinn Gomez Bergin. They will be based at the University of Nottingham and part of the broader RAi ecosystem. This role would be ideally suited to an ambitious and proactive researcher who is keen to commit to and help shape the future of AI research in this area. They will need an in-depth understanding of responsible research and innovation and how this can be applied to address the sociotechnical challenges of AI within complex systems.
A key focus of the role will be understanding the perspectives of multiple stakeholders across AI, law, and medicine. This will involve carrying out research activities across different sectors, disciplines, and contexts and will involve scoping activities such as stakeholder mapping and literature reviews, designing and conducting qualitative and quantitative fieldwork, analysis and writing up of findings for interim and final reports, and producing outputs for academic, industrial, and practitioner-focused knowledge exchange. You will also have the opportunity to contribute to RAi projects and activities including the opportunity to engage in independent research.
The post is offered on a full time (36.25 hours per week), fixed term contract until 31 March 2028. Job share arrangements may be considered.
Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.
Informal enquiries may be addressed to aislinn.bergin@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.
Further details:
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