RESEARCH | HUMAN JUDGMENT | VERIFICATION | SCHOLARSHIP
Exploring how researchers can benefit from AI while preserving critical engagement, human judgment, verification, and scholarly responsibility.
01
The Research Problem
AI is entering every stage of research.
Research is a process—from identifying a meaningful problem to communicating defensible findings. AI can now assist in almost every stage, bringing both great opportunities and real risks.
“AI can support the work of research, but it can also replace parts of the intellectual work through which a researcher learns.”
02
A Double-Edged Sword
AI can strengthen research — and weaken it.
03
Where does AI Enter?
AI can strengthen research — and weaken it.
04
From Assistance to Replacement
Not all AI use is the same
05
Four Questions for Responsible Research
A simple framework for AI use
Quality
Does it improve the quality of the research?
Judgment
Does the researcher remain intellectually engaged?
Verification
Can claims and methods be independently verified?
Responsibility
Who remains accountable for the research?
06
Researcher Formation
Research shapes the researcher.
Through research, we learn to ask better questions, evaluate evidence, interpret findings, and exercise scholarly judgment. AI should enhance — not replace — this formative journey.
07
Toward a More Thoughtful Future
“AI should help us conduct better research without removing the intellectual work through which we become better researchers.”
