Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show. www.nature.com/articles/d41...
Rosamunde Van Brakel
Researcher with public evidence across Policy & governance, AI research, Culture, work & education.
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"hallucinated references disproportionately assign credit to already prominent and male scholars, suggesting that LLM-generated errors may reinforce existing inequities in scientific recognition" arxiv.org/abs/2605.07723
- Researchers audited 111 million references across 2.5 million papers on arXiv, bioRxiv, SSRN, and PubMed Central to find non-existent citations at scale.
- They estimate 146,932 hallucinated citations in 2025 alone, concentrated in fields with rapid AI uptake and in small or early-career author teams.
- Fake citations disproportionately credit already prominent and male scholars, and existing preprint moderation catches only a fraction, the paper says.
US: In the latest sign that artificial intelligence is fueling higher health care costs, a group of insurers released a report Thursday claiming that hospitals’ use of A.I. was responsible for nearly $1 billion in additional expenses over two years. www.nytimes.com/2026/09/24/…
- The Blue Cross Blue Shield Association attributes about $942 million in extra plan costs between 2023 and 2025 to hospital AI coding tools.
- Hospitals were paid nearly $12,000 more per case on average as AI flagged secondary diagnoses without matching changes in treatment.
- More than 60% of hospital systems have adopted AI coding tools that read lab reports and clinician notes.
Seven out of the eight groups took the conscientious objector option and decided not to use generative AI www.insidehighered.com/opinion/care...
“The emperor is a fan of Flock,” a man dressed as Darth Vader told a San Diego City Council meeting last month.... “We must continue utilizing Flock technologies so that we can follow and surveil the rebel scum.” www.nytimes.com/2026/09/18/o...
‘Our new paper offers a rare look inside the “black box” of algorithmic hiring, showing that these tools increase racial bias and shut the same people out of jobs everywhere they apply’ hai.stanford.edu/news/ai-hiri...
- A Stanford HAI study of 4 million applications found 26% of Black applicants faced AI-screened positions that discriminated against their racial group.
- Roughly 40,000 more applications would have advanced if the AI tool had recommended candidates at equal rates across racial groups.
- Ten percent of applicants who submitted four applications screened by the same vendor were rejected from all of them, exceeding independent-probability expectations.
Very honoured that I have been selected as a member of the EU's #AIAct Advisory Forum and I see that I am in some good company 🥳 digital-strategy.ec.europa.eu/en/policies/...
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