Editor’s choice
Editor’s choice
part of AI and SEI
This position statement advocates for the responsible use of AI and automation in evidence synthesis, emphasizing the need for human oversight, maintaining methodological rigor and the integrity of findings, and ensuring that AI use is fully and transparently reported.
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1. Evidence synthesists are ultimately responsible for their evidence synthesis, including the decision to use artificial intelligence (AI) and automation, and to ensure adherence to legal and ethical standards.
2. Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence support the aims of the Responsible use of AI in evidence SynthEsis (RAISE) recommendations, which provides a framework for ensuring responsible use of AI and automation across all roles within the evidence synthesis ecosystem.
3. Evidence synthesists developing and publishing syntheses with Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence can use AI and automation as long as they can demonstrate that it will not compromise the methodological rigour or integrity of their synthesis.
4. AI and automation in evidence synthesis should be used with human oversight.
5. Any use of AI or automation that makes or suggests judgements should be fully and transparently reported in the evidence synthesis report.
6. AI tool developers should proactively ensure their AI systems or tools adhere to the RAISE recommendations so we have clear, transparent and publicly available information to inform decisions about whether an AI system or tool could and should be used in evidence synthesis.
This article has been published simultaneously with Cochrane Database of Systematic Reviews, Campbell Systematic Reviews, JBI Evidence Synthesis, and Environmental Evidence. The articles are identical except for minor stylistic and spelling differences in keeping with each journal’s style.
Journal article / The authors examine the potential of AI to accelerate and improve evidence synthesis in conservation.
Journal article / A consensus-driven definition of rapid evidence assessment for environmental applications, aimed at improving consistency and transparency.
SEI report / This report examines how the rights of rivers are being implemented in practice through comparative analysis of the Turag and Atrato rivers cases.
