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This article addresses fundamental methodological shifts required for empirical research as artificial intelligence transforms data analysis and experimental design. It focuses on how AI tools are reshaping the core practices of scientific inquiry rather than promoting specific commercial products or consumer applications. The discussion centers on maintaining rigorous standards in an era where AI models increasingly influence hypothesis testing and result interpretation.
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Surse care acoperăStanford HAI, arXiv
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Empirical Methods in the Age of AI
Stanford HAI1 min de cititArticolul și perspectiva sunt în engleză.
Empirical Methods in the Age of AI Stanford HAI
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