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Assuring Data Authenticity in the Age of Generative AI
Jeff J H Kim1, Mohammad Hosseini2, Haavi Morreim3
1University of Illinois Chicago, Chicago, Illinois, USA.
Abstract:
This commentary examines the challenges that generative artificial intelligence poses to the authenticity and integrity of scientific data. It proposes data-attestation requirements to strengthen accountability, preserve access to original research records, and help journals and institutions distinguish authentic evidence from synthetic or fabricated data.