What is research integrity?

Research integrity refers to conducting research honestly, rigorously, transparently and accountably.

In more detail

Research integrity provides the foundation for responsible AI. AI should strengthen rather than weaken scientific standards. Efficiency gains are valuable only when research integrity is preserved.

Why it matters

Trustworthy evidence depends on integrity.

Decision rule

Common misconception

• “Efficiency is more important than rigour.”

At a glance

Evidence strength

Strong

Related concepts

Research integrity comes before automation.

More on Evidence Quality & the Future

• What is decision-grade evidence?
• Can a chatbot provide decision-grade evidence?
• Who are the key stakeholders in responsible AI for evidence synthesis?
• Why should AI evaluations be shared?