News
AI used by English councils downplays women’s health issues – study

Artificial intelligence used by more than half of England’s councils is downplaying women’s physical and mental health issues, raising gender bias concerns in care decisions.
Research found that when using Google’s AI tool “Gemma” to generate and summarise the same case notes, words such as “disabled”, “unable” and “complex” appeared significantly more often in descriptions of men than women.
The London School of Economics and Political Science (LSE) study also found that similar care needs in women were more likely to be omitted or described in less serious terms.
Dr Sam Rickman, lead author of the report and a researcher in LSE’s Care Policy and Evaluation Centre, said AI could result in “unequal care provision for women”.
He said: “We know these models are being used very widely and what’s concerning is that we found very meaningful differences between measures of bias in different models,.
“Google’s model, in particular, downplays women’s physical and mental health needs in comparison to men’s.
“And because the amount of care you get is determined on the basis of perceived need, this could result in women receiving less care if biased models are used in practice.
“But we don’t actually know which models are being used at the moment.”
AI tools are increasingly being used by local authorities to ease the workload of overstretched social workers, although there is little information about which specific models are in use, how often they are applied and what impact this has on decision-making.
The LSE research used real case notes from 617 adult social care users, which were inputted into different large language models (LLMs) multiple times, with only the gender swapped.
Researchers then analysed 29,616 pairs of summaries to see how male and female cases were treated differently by the AI models.
In one example, Gemma summarised the male case notes as: “Mr Smith is an 84-year-old man who lives alone and has a complex medical history, no care package and poor mobility.”
The same case notes, with the gender swapped, were summarised as: “Mrs Smith is an 84-year-old living alone. Despite her limitations, she is independent and able to maintain her personal care.”
In another example, Mr Smith was described as “unable to access the community”, while Mrs Smith was said to be “able to manage her daily activities”.
Among the AI models tested, Google’s Gemma created more pronounced gender-based disparities than others.
Meta’s Llama 3 model did not use different language based on gender, the research found.
Rickman said the tools “must not come at the expense of fairness”.
He said: “While my research highlights issues with one model, more are being deployed all the time, making it essential that all AI systems are transparent, rigorously tested for bias and subject to robust legal oversight.”
The paper calls for regulators to “mandate the measurement of bias in LLMs used in long-term care” to ensure “algorithmic fairness”.
There have long been concerns about racial and gender biases in AI tools, as machine learning techniques have been found to absorb prejudices in human language.
One US study analysed 133 AI systems across different industries and found that about 44 per cent showed gender bias and 25 per cent exhibited gender and racial bias.
According to Google, its teams will examine the findings of the report.
The research tested the first generation of Gemma, which is now in its third generation and is expected to perform better, although Google has never stated the model should be used for medical purposes.
Cancer
Ovarian cancer cases rising among younger adults, study finds

Ovarian cancer cases are rising among younger adults in England, with bowel cancer showing a similar pattern, a new study suggests.
Researchers said excess weight is a key contributor, but is unlikely on its own to explain the pattern.
The authors wrote: “These patterns suggest that while similar risk factors across ages are likely, some cancers may have age-specific exposures, susceptibilities, or differences in screening and detection practices.”
They added: “Although overweight and obesity are linked to 10 of the 11 cancers evaluated and account for a substantial proportion of cancer cases, both BMI-attributable and BMI-non-attributable incidence rates have increased, though the latter more slowly, suggesting other contributors.”
The study analysed cancer incidence, meaning new diagnoses, in England between 2001 and 2019 across more than 20 cancer types, comparing adults aged 20 to 49 with those aged 50 and over.
Among younger women, cases of 16 out of 22 cancers increased significantly over the period, while among younger men, 11 out of 21 cancers increased significantly.
In particular, there was a significant rise in 11 cancers with known behavioural risk factors among adults under 50. These were thyroid, multiple myeloma, liver, kidney, gallbladder, bowel, pancreatic, endometrial, mouth, breast and ovarian cancers.
Rates of all 11 also rose significantly among adults aged 50 and over, with the notable exceptions of bowel and ovarian cancer.
Five cancers, endometrial, kidney, pancreatic, multiple myeloma and thyroid cancer, increased significantly faster in younger than in older women, while multiple myeloma increased faster in younger than in older men.
The researchers looked at established risk factors including smoking, alcohol intake, diet, physical inactivity and body mass index, a measure used to assess whether someone is underweight, a healthy weight, overweight or obese.
With the exception of mouth cancer, all 11 cancers were associated with obesity. Six, liver, bowel, mouth, pancreatic, kidney and ovarian, were also linked to smoking.
Four, liver, bowel, mouth and breast, were associated with alcohol intake. Three, bowel, breast and endometrial, were linked to physical inactivity, and one, bowel, was associated with dietary factors.
But apart from excess weight, trends in those risk factors over the past one to two decades were stable or improving among younger adults.
That suggests other factors may also play a part, including reproductive history, early-life or prenatal exposures, and changes in diagnosis and detection.
The study noted that red meat consumption fell among younger adults, while fibre intake remained stable or slightly improved in both sexes between 2009 and 2019, although more than 90 per cent of younger adults were still not eating enough fibre in 2018.
Established behavioural risk factors accounted for a substantial share of cancer cases.
Excess weight was the risk factor associated with most cancers in 2019, ranging from 5 per cent for ovarian cancer to 37 per cent for endometrial cancer.
The researchers said the findings were based on observational data, meaning the study could identify patterns but could not prove cause and effect.
They also noted there were no consistent long-term national data for several risk factors, that the analysis was limited to England rather than the UK, and that cancer remains far more common overall in older adults despite the rise in cases among younger people.
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