CKO-003Foundations of Responsible AIStrong evidence
Who is responsible for AI-assisted evidence synthesis?
The evidence synthesis team remains responsible for all methods, decisions, outputs and conclusions, regardless of which AI tools are used.
In more detail
AI tools can assist with tasks, but responsibility does not transfer to software developers or AI systems. Authors remain accountable for selecting tools, evaluating outputs, documenting use and ensuring the trustworthiness of the final review. AI should be viewed as an assistant rather than an autonomous decision-maker.
Why it matters
Accountability is fundamental to scientific credibility.
Decision rule
Never assume AI use transfers responsibility away from researchers.
Common misconception
“If AI makes a mistake, the software vendor is responsible.”
At a glance
- Evidence strength
- Strong
- Trust impact
- High
- Stakeholders
- Evidence Synthesists
- RAISE principle
- Human accountability remains essential.
Related concepts
Key takeaway
The authors' names remain on the review.