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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.
Large language models are beginning to enter peer review. Yet this use creates a security problem: the manuscript being judged can also contain hidden instructions that shape the model's judgment.
The role of AI in peer review should be acknowledged in order to ensure practical guidance and policies that help scholars respond with consistency and confidence.
AIs on their own found ways to exploit regulations and evade current safeguards.
Queen Mary University researchers have developed a new AI-powered framework designed to help scientists review and analyse vast amounts of literature faster, more transparently, and with greater human oversight.
International Mathematical Union endorses warning about tech industry influence.
In penning their national AI strategies governments are not only deciding how to regulate AI. They are also defining what AI should deliver, from economic growth to public-sector transformation.
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.
