AI Insight
A report commissioned by the European Parliament examines how generative artificial intelligence is transforming scientific research practices and knowledge creation. The report addresses the growing integration of AI systems throughout the research lifecycle and highlights that AI capabilities are now advancing faster than researchers and current governance structures can effectively evaluate and respond to these changes.
Why it matters
The integration of AI into scientific research raises fundamental questions about research reliability and the need for updated governance frameworks. As AI systems increasingly operate beyond the scope of traditional human verification methods, new policies are needed to ensure the integrity and trustworthiness of AI-assisted scientific work.
Understand the Science
The report, Open Science and the Effects of Generative Artificial Intelligence in Scientific Exchange: Policy Options for Reliable Research,1 published in October, 2026, was commissioned by the European Parliament’s Panel for the Future of Science and Technology at a crucial moment for research. Generative artificial intelligence (AI) is reshaping how knowledge is created2 as AI systems are increasingly integrated across many stages of the research lifecycle.3 These methodological and epistemological challenges are leading to AI capabilities that now outpace human verification, transforming scientific disciplines faster than researchers or current governance can respond.
Source: [Comment] Governing artificial intelligence for reliable research