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Advancing responsible AI in evidence synthesis
Please note: Website under construction
About us
The EPPI Centre AI Lab is a collaborative initiative bringing together researchers, methodologists and technology specialists working on the responsible development, evaluation and use of artificial intelligence (AI) in evidence synthesis and primary research.
Based within the EPPI Centre at UCL, the Lab builds on the Centre's longstanding expertise in evidence synthesis methods, research technology and automation. It provides a focal point for coordinating methodological research, developing and evaluating tools, sharing expertise and building collaborations.
Our mission
Our mission is to advance the responsible use of AI while protecting the methodological rigour, transparency and integrity on which trustworthy research evidence depends. We seek to understand where AI can add value, how its performance should be evaluated and what safeguards are needed to support its effective use.
Our approach
Rigorous evaluation
Assessing the accuracy, reliability, limitations and practical value of AI methods and technologies.
Responsible innovation
Developing and applying AI with attention to transparency, research integrity and methodological standards.
Shared expertise
Building capacity through training, guidance, partnerships and accessible research resources.
What we do
Our work spans four interconnected areas, bringing together methodological expertise, technology development, training and international collaboration.
01
Research, methods and evaluation
We develop and evaluate methods for integrating AI into evidence synthesis, investigating the accuracy, reliability, efficiency and limitations of emerging technologies.
Our research focuses on understanding when and how AI can be used effectively, both in evidence synthesis and teaching, learning and research more broadly, developing robust evaluation approaches, and ensuring that methodological quality and transparency remain central to AI-supported research.
02
Technology development and coordination
We develop, test and implement AI-enabled technologies that support evidence synthesis workflows, from identifying and screening research to data extraction, analysis and maintaining living evidence resources.
Working closely with the EPPI Reviewer development team and external partners, we aim to make innovative technologies accessible, practical and responsive to the needs of evidence synthesis researchers.
03
Teaching, training and capacity building
We support researchers, practitioners and organisations to develop the knowledge and skills needed to use AI responsibly and effectively.
Through workshops, short courses, seminars and practical resources, we provide training in AI-assisted evidence synthesis, prompt development, methodological evaluation and the critical appraisal of AI-generated outputs.
Our training emphasises both the opportunities and limitations of AI, supporting informed decisions about its appropriate use.
04
Collaboration and international leadership
We work with researchers, institutions, evidence organisations and technology developers to advance the responsible use of AI in evidence synthesis.
Through interdisciplinary partnerships, methodological guidance and engagement with national and international initiatives, we contribute to the development of shared standards, robust evaluation practices and innovative approaches to evidence synthesis.
Meet our leadership team
The Lab is led by two Co-Directors and two Associate Directors, each with responsibility for a complementary area of activity.
Co-Director
Teaching, training and capacity building
Co-Director
External profile and field-shaping
Associate Director
Methods and evaluation
Associate Director
Technology development and coordination
The AI Lab also draws on the expertise of EPPI Centre colleagues and external collaborators working across AI methods, technology development, evaluation and evidence synthesis.
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