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<datacite:identifier identifierType="URL">https://door.donau-uni.ac.at/o:6047</datacite:identifier>

  
<datacite:titles>
  
<datacite:title xml:lang="en">Position Statement on Artificial Intelligence (AI) Use in Evidence Synthesis Across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025</datacite:title>

  
</datacite:titles>

  
<datacite:creators>
  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Flemyng, Ella</datacite:creatorName>

  
<datacite:givenName>Ella</datacite:givenName>

  
<datacite:familyName>Flemyng</datacite:familyName>

  
<datacite:nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0002-9845-9076</datacite:nameIdentifier>

  
<datacite:affiliation>Cochrane London UK</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Noel‐Storr, Anna</datacite:creatorName>

  
<datacite:givenName>Anna</datacite:givenName>

  
<datacite:familyName>Noel‐Storr</datacite:familyName>

  
<datacite:affiliation>Cochrane London UK</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Macura, Biljana</datacite:creatorName>

  
<datacite:givenName>Biljana</datacite:givenName>

  
<datacite:familyName>Macura</datacite:familyName>

  
<datacite:nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0002-4253-1390</datacite:nameIdentifier>

  
<datacite:affiliation>Stockholm Environment Institute</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Gartlehner, Gerald</datacite:creatorName>

  
<datacite:givenName>Gerald</datacite:givenName>

  
<datacite:familyName>Gartlehner</datacite:familyName>

  
<datacite:nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0001-5531-3678</datacite:nameIdentifier>

  
<datacite:affiliation>Universität für Weiterbildung Krems</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Thomas, James</datacite:creatorName>

  
<datacite:givenName>James</datacite:givenName>

  
<datacite:familyName>Thomas</datacite:familyName>

  
<datacite:affiliation>University College London</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Meerpohl, Joerg J.</datacite:creatorName>

  
<datacite:givenName>Joerg J.</datacite:givenName>

  
<datacite:familyName>Meerpohl</datacite:familyName>

  
<datacite:affiliation>University of Freiburg</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Jordan, Zoe</datacite:creatorName>

  
<datacite:givenName>Zoe</datacite:givenName>

  
<datacite:familyName>Jordan</datacite:familyName>

  
<datacite:affiliation>The University of Adelaide</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Minx, Jan</datacite:creatorName>

  
<datacite:givenName>Jan</datacite:givenName>

  
<datacite:familyName>Minx</datacite:familyName>

  
<datacite:affiliation>Potsdam Institute for Climate Impact Research</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Eisele‐Metzger, Angelika</datacite:creatorName>

  
<datacite:givenName>Angelika</datacite:givenName>

  
<datacite:familyName>Eisele‐Metzger</datacite:familyName>

  
<datacite:affiliation>University of Freiburg</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Hamel, Candyce</datacite:creatorName>

  
<datacite:givenName>Candyce</datacite:givenName>

  
<datacite:familyName>Hamel</datacite:familyName>

  
<datacite:affiliation>Ottawa Hospital Research Institute</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Jemioło, Paweł</datacite:creatorName>

  
<datacite:givenName>Paweł</datacite:givenName>

  
<datacite:familyName>Jemioło</datacite:familyName>

  
<datacite:affiliation>AGH University of Krakow</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Porritt, Kylie</datacite:creatorName>

  
<datacite:givenName>Kylie</datacite:givenName>

  
<datacite:familyName>Porritt</datacite:familyName>

  
<datacite:affiliation>The University of Adelaide</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Grainger, Matthew</datacite:creatorName>

  
<datacite:givenName>Matthew</datacite:givenName>

  
<datacite:familyName>Grainger</datacite:familyName>

  
<datacite:affiliation>Norwegian Institute for Nature Research</datacite:affiliation>

  
</datacite:creator>

  
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<dc:publisher>Wiley</dc:publisher>

  
<resourceType resourceTypeGeneral="literature" uri="http://purl.org/coar/resource_type/c_6501">journal article</resourceType>

  
<dc:language>eng</dc:language>

  
<dc:description xml:lang="en">Summary

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.

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 provide a framework for ensuring responsible use of AI and automation across all roles within the evidence synthesis ecosystem.

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 rigor or integrity of their synthesis.

 AI and automation in evidence synthesis should be used with human oversight.

Any use of AI or automation that makes or suggests judgements should be fully and transparently reported in the evidence synthesis report.

 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.</dc:description>

  
<datacite:subjects>
  
<datacite:subject xml:lang="en">Cochrane</datacite:subject>

  
<datacite:subject xml:lang="en">AI</datacite:subject>

  
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<licenseCondition uri="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</licenseCondition>

  
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<datacite:alternateIdentifiers>
  
<datacite:alternateIdentifier alternateIdentifierType="DOI">10.1002/cl2.70074</datacite:alternateIdentifier>

  
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<dc:format>application/pdf</dc:format>

  
<dc:source xml:lang="de">Campbell Systematic Reviews</dc:source>

  
<dc:source>issn:1891-1803</dc:source>

  
<citationTitle>Campbell Systematic Reviews</citationTitle>

  
<citationVolume>21</citationVolume>

  
<citationIssue>4</citationIssue>

  
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<datacite:dates>
  
<datacite:date dateType="Issued">2025</datacite:date>

  
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