CKO-010Foundations of Responsible AIStrong evidence
What is the most important principle for responsible AI in evidence synthesis?
AI should only be used when it improves efficiency or capability without compromising rigour, transparency, accountability, reproducibility or trust.
In more detail
Across all four webinars and all three RAISE papers, the central message is consistent: AI is not valuable because it is new. It is valuable only when it supports the production of trustworthy evidence. Every decision about AI use should ultimately be evaluated against this principle.
Why it matters
This principle acts as a decision rule for all AI adoption decisions.
Decision rule
If trustworthiness decreases, the AI use is not justified.
Common misconception
“Faster automatically means better.”
At a glance
- Evidence strength
- Strong
Related concepts
Key takeaway
Trustworthy evidence is the goal; AI is only a means to achieve it.