Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Position Statement on Artificial Intelligence (AI) Use in Evidence Synthesis Across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025
1
Zitationen
13
Autoren
2025
Jahr
Abstract
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.
Ähnliche Arbeiten
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · 85.000 Zit.
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
2009 · 82.791 Zit.
The Measurement of Observer Agreement for Categorical Data
1977 · 76.889 Zit.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
2009 · 62.764 Zit.
Measuring inconsistency in meta-analyses
2003 · 61.481 Zit.
Autoren
Institutionen
- Cochrane(GB)
- Stockholm Environment Institute(SE)
- Campbell Collaboration(NO)
- Universität für Weiterbildung Krems(AT)
- University College London(GB)
- University of Freiburg(DE)
- University Medical Center Freiburg(DE)
- Cochrane(CA)
- The University of Adelaide(AU)
- Potsdam Institute for Climate Impact Research(DE)
- Ottawa Hospital(CA)
- Ottawa Hospital Research Institute
- Jagiellonian University(PL)
- AGH University of Krakow(PL)
- Norwegian Institute for Nature Research(NO)