Source link : https://health365.info/ai-instruments-chance-downplaying-women-folks-fitness-wishes-in-social-care/
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Huge language fashions (LLMs), utilized by greater than part of England’s native government to strengthen social staff, is also introducing gender bias into care choices, in step with new analysis from the London Faculty of Economics and Political Science (LSE).
Printed within the magazine BMC Clinical Informatics and Choice Making, the analysis discovered that Google’s extensively used AI type “Gemma” downplays women folk’s bodily and psychological problems compared to males’s when used to generate and summarize case notes.
Phrases related to vital fitness considerations, reminiscent of “disabled,” “unable,” and “complex,” seemed considerably extra frequently in descriptions of guys than women folk. Identical care wishes amongst women folk had been much more likely to be disregarded or described in much less critical phrases.
Huge language fashions are increasingly more getting used to ease the executive workload of social staff and the general public sector extra normally. Then again, it stays unclear which explicit fashions are being deployed by means of councils—and whether or not they is also introducing bias.
Dr. Sam Rickman, lead creator of the document and a researcher in LSE’s Care Coverage and Analysis Heart (CPEC), stated, “If social workers are relying on biased AI-generated summaries that systematically downplay women’s health needs, they may assess otherwise…
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Publish date : 2025-08-11 15:47:00
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