Assuring Data Authenticity in the Age of Generative AI
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.
Jeff J. H. Kim, Mohammad Hosseini, H. Morreim et al.
· Journal of Law, Medicine &am... · 0 citations