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This UCS blog post challenges the narrative that AI will be a climate savior, cautioning that focusing on hypothetical future tech could distract from proven climate solutions.
As proponents of AI claim it will soon replace software engineers, what does this mean for qualitative researchers and research software development?
Can Large Language Models (LLMs) support the process or validate expert evaluations? ChatGPT-4o mini scores correlated positively with expert scores in almost all 34 (field-based) Units of Assessment (UoAs).
Largest illegal database of scientific papers has gaps in recently published literature, but its chatbot can still prove useful—especially for less-timely questions
As AI systems increasingly reason from the scientific literature, the integrity signals that make research trustworthy - open data, structured metadata, robust retraction processes - matter more than ever.
Jim Dickinson presents findings from new research on students' use of AI – and argues the sector is punishing precisely the disposition it should be cultivating.
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.
