Preprints.ai: How Much of Peer Review Can We Automate?
If we were designing peer review from scratch for a world where powerful LLMs exist, what would we actually need humans for, and what could we comfortably automate?
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If we were designing peer review from scratch for a world where powerful LLMs exist, what would we actually need humans for, and what could we comfortably automate?
Advances in agentic AI combined with increasingly large reserves of openly accessibly and machine-readable data are creating a perfect storm for the mass-production of AI authored research papers.
A randomized controlled study demonstrates that large language model-generated feedback can make reviews more informative while enhancing reviewer-author engagement. Preprint available: https://arxiv.org/abs/2504.09737
Switzerland will host the next Global Summit on AI in Geneva in 2027. This was announced by the President of the Swiss Confederation, Guy Parmelin, in New Delhi at the AI Impact Summit in the presence of Indian Prime Minister Narendra Modi.
The groundbreaking inquiry follows a complaint from a Polish company that the use of AI to evaluate its EIC bid was unfair.
A new Science Policy Forum article warns that the next generation of influence operations – coordinated campaigns designed to manipulate perceptions of consensus, credibility, and normality – may not look like obvious “copy-paste bots,” but like coordinated communities: fleets of artificial intelligence (AI) -driven personas that can adapt in real time, infiltrate groups, and manufacture the appearance of public agreement at scale.
Artificial intelligence boosts individual scientists' output, citations and career progression, but collectively narrows research diversity and reduces collaboration, concentrating work in data-rich areas and potentially limiting broader scientific exploration.
Pre-print available here: Artificial Intelligence Tools Expand Scientists' Impact but Contract Science's Focus
Artificial intelligence is helping to advance science, but it could also add to stress on the research system by generating ever more papers and grant applications, an AI expert at the Organisation for Economic Co-operation and Development (OECD) has warned.
Generative AI is already being used by some universities to assess the quality of their research - and it could be scaled up to help all higher education institutions save huge amounts of time and money.
A new Trump administration plan to expand the use of artificial intelligence in US science could boost research productivity. But, it also highlights a need for more global cooperation in AI development.
New study reinforces worries about “mass production of junk” by unscrupulous scholars aiming to pad their CVs