Elisabeth Bik

Scientific research has an artificial intelligence problem, and it goes well beyond AI-assisted writing. Generative AI can now produce convincing scientific images, fabricate experimental datasets and invent academic references, making fraudulent research more difficult to identify and raising questions about the reliability of published findings. A study published in Scientometrics in October 2026 estimated that the proportion of research papers containing AI-assisted writing rose from 9.8% in 2024 to 23.5% in 2025. While such assistance does not itself constitute misconduct, the technology's capacity to manufacture scientific evidence presents a far more serious challenge. The problem is compounded by longstanding pressures within academia. Researchers are rewarded for publishing frequently, while commercial publishers can benefit financially from accepting more manuscripts. Meanwhile, scientific journals are turning to AI-powered screening tools to detect manipulation and support peer review, creating a technological contest between increasingly sophisticated fabrication and detection. Through interviews with research-integrity investigators Ivan Oransky, Elisabeth Bik and Michal Wojcik, The Beiruter examines how AI is amplifying existing vulnerabilities in scientific publishing. Can scientific institutions protect the credibility of research without confronting the incentives that made the system vulnerable in the first place? Read the full article by Katharine Sorensen below. #TheBeiruter #AI #ScientificFraud #ResearchIntegrity #AcademicPublishing #Science #ArtificialIntelligence thebeiruter.com/article/scie…