Recommendations and guidance on responsible AI in evidence synthesis
Discussing how artificial intelligence (AI) can be responsibly used in evidence synthesis.
The use of artificial intelligence (AI) in evidence synthesis is advancing rapidly. Alongside this excitement comes a crucial challenge: how can we ensure AI is used responsibly across the whole ecosystem, from tool developers through to evidence synthesis methodologists and decision makers?
This seminar will discuss the collaborative efforts underway to create guidance that supports the responsible use of AI in evidence synthesis. It will also highlight the importance of evaluating AI tools and building an incremental evidence base to better understand their capabilities in synthesis tasks.
Speaker
Professor James Thomas
Professor James Thomas is based at the EPPI Centre, UCL and his research is centred on improving policy and decision-making through more creative use and appreciation of existing knowledge. It covers substantive disciplinary fields – such as health promotion, public health and education – and also the development of tools and methods that support this work conducted both within UCL and in the wider community.
He has written extensively on research synthesis, including meta-analysis and methods for combining qualitative and quantitative research in ‘mixed method’ reviews; and also designed EPPI-Reviewer, software which manages data through all stages of a systematic review.
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