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AI can make a research workflow more complicated without making its findings more credible. Learn how to identify unnecessary AI components, assess their methodological costs, and decide when a simpler procedure offers a stronger scientific justification.
Read Guide →AI can suggest research questions, methods, interpretations, and publication strategies, but consequential scientific decisions must remain accountable to human researchers. Learn which decisions require human judgment and how AI can support them without becoming the authority.
Read Guide →Researchers may need to explain their AI use to stakeholders with different responsibilities and expectations. Learn what each stakeholder needs to know, how to substantiate AI-assisted procedures, and why being comfortable with disclosure is a useful reflection exercise but not a substitute for compliance or scientific validity.
Read Guide →AI is not necessarily the best tool for every research task. Researchers should compare AI-assisted approaches with simpler validated alternatives, considering accuracy, methodological suitability, reproducibility, verification effort, and the actual benefits of automation.
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