2025-08-11
The latest example of bias permeating artificial intelligence comes from the medical field. A new study surveyed real case notes from 617 adult social care workers in the UK and found that when large language models summarized the notes, they were more likely to omit language such as "disabled," "unable" or "complex" when the patient was tagged as female, which could lead to women receiving insufficient or inaccurate medical care.
Research led by the London School of Economics and Political Science ran the same case notes through two LLMs — Meta's Llama 3 and Google's Gemma — a [...]
2025-05-01
Stanley Johnson is not a fan of needles. The 67-year-old Air Force veteran has endured his fair share of pokes over the years, but when it was decided that IV infusions would be the best course of act [...]
2025-06-13
Wikipedia is backing off a plan to test AI article summaries. Earlier this month, the platform announced plans to trial the feature for about 10 percent of mobile web visitors. To say they weren' [...]
2025-01-27
iOS 18.3 is here. After over a month in beta, the update is now available for everyone using an eligible device on Monday. Among other changes, Apple’s new software turns on Apple Intelligence by de [...]
2025-03-06
In the run-up to every International Women’s Day (IWD), new data is released on gender inequity in tech. Frequently, the findings are disheartening. This week, one report estimated that female found [...]
2025-05-02
Large language models excel at medical exams but fall short with real patients, Oxford study finds.<br /> The article AI’s medical skills are stuck behind a human bottleneck, according to new [...]