Recommendations and guidance on responsible AI in evidence synthesis

In this webinar, part of the Artificial Intelligence (AI) methods in evidence synthesis series, the presenters will cover:-

  • Why do we all need to embrace responsible AI?
  • What are the recommendations for responsible AI?
  • What changes to Cochrane processes and governance will help authors and others use AI responsibly?

The session is aimed at evidence synthesists, methodologists, AI developers, or those from organizations, funders or publishers involved in evidence synthesis.
 


Presenter Bios

Anna Noel-Storr has worked for Cochrane since 2008. A highly experienced health information specialist and methodological researcher with a particular interest in developing and evaluating new methods, processes and workflows for study identification within evidence synthesis production. Anna led the development of the Cochrane Crowd citizen science platform and currently leads on Cochrane’s Evidence Pipeline initiative. In 2019 she was the recipient of the Chris Silagy Award for outstanding contribution to Cochrane. During the pandemic, she played a leading role in the set up and implementation of the Cochrane COVID-19 Study Register, a highly curated, up-to-date repository of studies related to COVID-19.
 

Ella Flemyng is Head of Editorial Policy and Research Integrity in Cochrane. She leads work to define and deliver on policies and standards, so Cochrane evidence continues to be trusted and valued. This includes ensuring AI is used responsibly in Cochrane reviews. Ella worked in open access, STEM publishing before joining Cochrane in 2019. 



Professor James Thomas is Principal Investigator of the Evidence Reviews Facility for the Department of Health and Social Care, England, which is a large programme of policy-relevant systematic reviews with accompanying methodological development to increase their relevance and applicability for decision-making. He co-led the Cochrane ‘Project Transform’ which is implementing novel technologies and processes (including machine learning and crowdsourcing) to improve the efficiency of systematic reviews, and is co-investigator on a major Collaborative Award from Wellcome, the Human Behaviour-Change Project, led by Susan Michie (UCL), which is developing technologies and methodologies to organise, synthesise and present the literature in behavioural science.
 


Sign up

Tuesday, 3 June 2025, 13:00 UTC [check the time in your timezone] SIGN UP HERE

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