Responsible use of AI in evidence SynthEsis (RAISE): recommendations and guidance

** If you would like to provide feedback on RAISE, please use this feedback form https://forms.office.com/e/EDYvBPEBrd ** The RAISE guidance is currently written in three documents (click 'Files' in the menu above). The first document, ‘RAISE 1’, provides tailored recommendations for eight of the distinct roles in the evidence synthesis ecosystem: evidence synthesists, methodologists, AI tool developments teams, organisations that produce evidence synthesis, publishers, funders, users, and trainers of evidence synthesis methods. RAISE 2 contains guidance on building and evaluating AI evidence synthesis tools, which focuses on determining if an AI tool does what it claims to do to an acceptable standard, including how to build and validate AI tools, conduct evaluations to build a cumulative evidence base, including performance metrics to consider, and report evaluations. The final document, RAISE 3, then offers guidance on selecting and using AI evidence synthesis tools, which focuses on understanding whether an AI tool can be used for a specific evidence synthesis, including how to assess, select and use an AI tool, including ethical, legal and regulatory considerations, and the current state of AI tools for evidence synthesis. Please see the storage area for the RAISE documents. https://osf.io/fwaud/files/osfstorage We invite feedback and thoughts on this work. Please use https://forms.office.com/e/EDYvBPEBrd to submit feedback on RAISE.

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2024-08-29
DOI
https://doi.org/10.17605/osf.io/fwaud
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36
Controls
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article

Responsible use of AI in evidence SynthEsis (RAISE): recommendations and guidance

3 citations
OSF Preprints (OSF Preprints)
Artificial Intelligence in Healthcare and Education
0.36
article

Responsible use of AI in evidence SynthEsis (RAISE): recommendations and guidance

article en
3 citations

Abstract

** If you would like to provide feedback on RAISE, please use this feedback form https://forms.office.com/e/EDYvBPEBrd ** The RAISE guidance is currently written in three documents (click 'Files' in the menu above). The first document, ‘RAISE 1’, provides tailored recommendations for eight of the distinct roles in the evidence synthesis ecosystem: evidence synthesists, methodologists, AI tool developments teams, organisations that produce evidence synthesis, publishers, funders, users, and trainers of evidence synthesis methods. RAISE 2 contains guidance on building and evaluating AI evidence synthesis tools, which focuses on determining if an AI tool does what it claims to do to an acceptable standard, including how to build and validate AI tools, conduct evaluations to build a cumulative evidence base, including performance metrics to consider, and report evaluations. The final document, RAISE 3, then offers guidance on selecting and using AI evidence synthesis tools, which focuses on understanding whether an AI tool can be used for a specific evidence synthesis, including how to assess, select and use an AI tool, including ethical, legal and regulatory considerations, and the current state of AI tools for evidence synthesis. Please see the storage area for the RAISE documents. https://osf.io/fwaud/files/osfstorage We invite feedback and thoughts on this work. Please use https://forms.office.com/e/EDYvBPEBrd to submit feedback on RAISE.

OSF Preprints (OSF Preprints)
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
0.36
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