Scientists Wonder: Is my AI Stealing my Ideas?
Researchers are using AI as a sounding board throughout their work. But concerns are growing that companies may present users’ ideas as those of their models
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Researchers are using AI as a sounding board throughout their work. But concerns are growing that companies may present users’ ideas as those of their models
Algorithm looks for clues about a paper's origin that text-based detectors miss.
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suggests that AI may be contributing to publication inflation in a format that is citable, lightly regulated and often not peer reviewed.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.
If intelligence is merely optimisation then machines will outrun us. Kant tells us why human reason is so much more.
Intended to help with biosecurity, it works with a popular AI protein design tool.
If AI is making access to knowledge less scarce, what role to do universities have in delivering it?
Artificial-intelligence systems can generate hypotheses, design experiments and analyse data - but humans still need to decide what makes sense.
Following controversy over a mathematics breakthrough claimed by OpenAI, funders grapple with how to make sure proposals stay confidential.
The future academic labour agreement may have to do something no previous faculty contract was asked to do. It may have to specify which forms of cognition belong to machines, which belong to professionals, which may be shared between them and where final authority must remain human.
Whether mathematics thrives or perishes in the age of AI depends on what it is that society values in the human intellect.
Universities are creating AI schools alongside disciplines such as logic, economics and communication without addressing their shared foundations. Mouhamdy M. Dahoud argues that this reflects an ontological gap, with current research funding and assessment taxonomies overlooking an entire category of science.
Publicly available AI models and local infrastructure can reduce AI's environmental footprint while giving researchers greater control over the tools they use.
We do not own the leading-edge AI technology we rely on for research and innovation. We rent it, mostly from US companies.