0202602170122
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Responsible AI use in Evidence SynthEsis (RAISE) Description: Responsible AI use in Evidence SynthEsis (RAISE) is a global collaborative initiative to develop consensus-based recommendations and guidance for the responsible development, evaluation, reporting and use of artificial intelligence (AI) and automation tools in evidence synthesis.
The project aims to ensure that AI enhances efficiency while maintaining methodological rigour, transparency, reproducibility, accountability and trust in systematic reviews and related evidence synthesis products. The guidance is developed collaboratively across major evidence synthesis organisations and made publicly available via the Open Science Framework (OSF).
STARDIT ID:
STARDIT ID:
0202602170122
Dates
State ongoing
Start 2023-02-21
Form updated 2026-02-17
Location
Global
Aims
Develop shared, consensus-based recommendations for responsible AI use in evidence synthesis.
Clarify the roles and responsibilities of evidence synthesis organisations, authors, editors and AI tool developers.
Promote transparency, accountability, human oversight and methodological integrity in AI-assisted systematic reviews.
Provide guidance for building, evaluating, selecting and using AI tools in evidence synthesis workflows.
Support journals, organisations and publishers to update policies on AI use in systematic reviews and related outputs.
Keywords
artificial intelligence
evidence synthesis
systematic review
responsible AI
research integrity
automation
methodology
Category
research
Inputs
organisation
Cochrane
Task: Co-led development of the RAISE recommendations and cross-journal position statement
Method: Joint AI Methods Group collaboration
Communication: Collaborative drafting, consultation and publication processes
organisation
Campbell Collaboration
Task: Co-led development of RAISE recommendations and position statement
Method: Joint AI Methods Group collaboration
Communication: Collaborative drafting and consensus development
organisation
Joanna Briggs Institute
Task: Co-led development of RAISE recommendations and position statement
Method: Joint AI Methods Group collaboration
Communication: Collaborative drafting and consensus development
organisation
Collaboration for Environmental Evidence
Task: Co-led development of RAISE recommendations and position statement
Method: Joint AI Methods Group collaboration
Communication: Collaborative drafting and consensus development
group of individuals
Joint AI Methods Group
Task: Cross-organisational working group responsible for drafting, revising and publishing RAISE guidance documents
Method: Formal cross-organisational collaboration
Communication: Online meetings, shared documents, OSF-hosted version control
group of individuals
International evidence synthesis and AI experts
Task: Contributed expertise, peer review and feedback on draft recommendations
Method: Consultation and iterative review process
Communication: Online consultation and document review
Compensation: volunteer
other resources
In-kind organisational support
Participating organisations contributed staff time, expertise and infrastructure support for drafting, consultation and dissemination of the RAISE guidance. No single commercial AI funder is listed for the core project.
Ethics approver
Not human subjects research ID: Not applicable
Outputs and impacts
publication/report/document
State: Completed
RAISE 1 – Recommendations for Responsible AI Use in Evidence Synthesis (link)
Ecosystem-level recommendations outlining responsibilities of organisations, authors, editors and developers in responsible AI use.
publication/report/document
State: Completed
RAISE 2 – Guidance on Building and Evaluating AI Tools for Evidence Synthesis (link)
Guidance on development, validation, transparency and performance evaluation of AI tools used in evidence synthesis.
publication/report/document
State: Completed
RAISE 3 – Guidance on Selecting and Using AI Tools in Evidence Synthesis (link)
Guidance for authors and organisations on responsible selection and use of AI tools.
publication/report/document
State: Completed
Cross-journal Position Statement on Responsible AI Use in Evidence Synthesis
Jointly published position statement across journals associated with Cochrane, Campbell Collaboration, Joanna Briggs Institute and Collaboration for Environmental Evidence endorsing RAISE principles.
STARDIT report information
STARDIT report authors