Revolutionizing Evidence Synthesis with Responsible AI: A Joint Statement from Leading Organizations
In a groundbreaking move, Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence have released a joint position statement on the responsible use of artificial intelligence (AI) in evidence synthesis. This collaborative effort is a significant step towards ensuring the ethical and transparent integration of AI into the production of high-quality, trustworthy research.
The statement emphasizes the potential of AI and automation to revolutionize evidence syntheses, including systematic reviews, while also acknowledging the potential disruptions they may cause. To maintain the integrity and trustworthiness of evidence synthesis, these organizations have united to establish a responsible and practical approach to AI implementation.
At the heart of this initiative is the Responsible use of AI in evidence SynthEsis (RAISE) recommendations, a comprehensive framework designed to guide the ethical and transparent use of AI throughout the entire evidence synthesis process. The statement sets clear expectations for evidence synthesists, emphasizing the importance of transparent reporting, accountability, and ensuring that AI does not compromise the methodological rigor or integrity of their work.
Ella Flemyng, Cochrane's Head of Editorial Policy and Research Integrity, and co-convenor of the joint AI Methods Group, expressed her enthusiasm for this joint position statement, stating, "This joint position statement marks a pivotal moment for the evidence synthesis community. By aligning Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence around the RAISE recommendations, we are setting a clear, shared standard for the responsible use of AI in evidence synthesis."
Flemyng further emphasized the proactive nature of this collaboration, "It's a step towards safeguarding research integrity while embracing innovation, ensuring that AI enhances the evidence we produce. This guidance empowers evidence synthesists to make informed, transparent decisions, and supports them in navigating the evolving AI landscape with more confidence and accountability."
The statement also highlights the need for human oversight, transparency, and justification when using AI in evidence synthesis, especially with the rise of large language models. It urges AI tool developers to actively align with RAISE principles, providing comprehensive documentation and transparency regarding limitations and potential biases.
Published simultaneously in Cochrane Database of Systematic Reviews, Campbell Systematic Reviews, JBI Evidence Synthesis, and Environmental Evidence, this statement represents a unified commitment to responsible innovation across the entire field. It serves as a testament to the collaborative efforts of these organizations, aiming to shape the future of evidence synthesis with AI while maintaining the highest standards of integrity and trustworthiness.
