Did an AI or a Human Write That Paper? New Detector Decides by Examining Its Ideas
Did an AI or a Human Write That Paper? New Detector Decides by Examining Its Ideas
Algorithm looks for clues about a paper's origin that text-based detectors miss.
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Algorithm looks for clues about a paper's origin that text-based detectors miss.
A start-up founder calls out inherent flaws in grant evaluation systems, which stifle innovation.
This study identifies unusual growth in scientific correspondence after the widespread adoption of generative AI and suggests that AI may be contributing to publication inflation in a format that is citable, lightly regulated and often not peer reviewed.
The latest Pulse Check Poll explored how organizations across the scholarly publishing ecosystem are responding to today’s research integrity challenges.
Open science is “not incompatible” with research security and science leaders and policymakers should “demystify” the false dichotomy between the two, according to Mona Nemer, Canada’s chief science advisor.
EU governments are set to have a strategic discussion on the next set of Horizon Europe partnerships with new initiatives on railways, space technologies, and climate and water resilience.
The additional funding for the Marie Skłodowska-Curie Actions comes amid record-low success rates.
The crisis of universities is not primarily due to politicization but to issues about whom universities serve and how they can serve them better against a backdrop of inequality, political polarization, and public mistrust.
If intelligence is merely optimisation then machines will outrun us. Kant tells us why human reason is so much more.
Additional funding will cover biodiversity and “bridging” grants to next EU research programme amid plummeting success rates
The National Science Library of the Chinese Academy of Sciences (NSL, CAS) and PLOS have signed a Memorandum of Understanding to collaborate on the Open for Science 10 (OS10) programme.
Scientific retractions remain rare but have become increasingly common. We set out to explore whether gender disparities in the likelihood of having retractions exist, both among highly-cited authors and among all authors with ≥ 5 publications.
Current assessment systems rely heavily on bibliometric indicators such as publication counts, co-authorship, and citation metrics, which do not reliably reflect research quality or scientific rigor.