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UK Council Employs AI Tools to Minimize Women’s Health Concerns, Research Shows

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Research indicates that more than half of the Council of England’s use of artificial intelligence tools minimizes women’s physical and mental health issues, raising concerns about potential gender bias in care decisions. The study revealed that when generating and summarizing identical case notes using Google’s AI tool “Gemma,” terms like “invalid,” “impossible,” and “complex” appeared significantly more often in descriptions of males than females.

Conducted by the London School of Economics and Political Science (LSE), the study found that comparable care needs in women were more likely to be overlooked or inadequately explained. Dr. Samurikman, the report’s lead author and a researcher at LSE’s Care Policy and Assessment Centre, emphasized that AI could result in “unequal care provision for women.” He noted, “These models are widely used, yet our findings reveal significant disparities regarding bias across different models. Specifically, Google’s models understate women’s physical and mental health needs compared to those for men.”

Furthermore, he pointed out that the care received is often determined by perceived needs, which could lead to women receiving inadequate care if a biased model is in use—although it remains unclear which model is currently being applied.

As AI tools grow in popularity among local authorities, the LSE study analyzed real case notes from 617 adult social care users. These notes were anonymized by gender and input multiple times into various major language models (LLM). Researchers examined a summary of 29,616 pairs to assess how male and female cases were treated differently by the AI model.

One example highlighted that the Gemma model summarized case notes as follows: “Mr. Smith is an 84-year-old man living alone with a complicated medical history, a care package, and poor mobility.” Conversely, when the gender was swapped, the summary read: “Mrs. Smith is an 84-year-old resident. Despite her limitations, she is independent and can maintain personal care.” In another instance, the summary stated that Mrs. Smith “has no access to the community,” while Mr. Smith “has managed to manage her daily activities.”

Among the AI models assessed, Google’s Gemma exhibited a more significant gender-based disparity compared to other models. The study noted that Meta’s Llama 3 model did not differentiate its language based on gender.

Dr. Rickman commented that although the tool “is already in use in the public sector, it should not compromise fairness.” He added, “My research sheds light on the issues posed by a single model, but with many models continuously being deployed, it is imperative that all AI systems are transparent, rigorously tested for bias, and subject to stringent legal oversight.”

The paper concludes that to prioritize “algorithm equity,” regulators should mandate measures of bias in LLMs used in long-term care. Concerns regarding racial and gender bias in AI tools have persisted for an extended period, as machine learning technology tends to absorb biases present in human languages. Our research analyzed 133 AI systems across various industries, revealing that approximately 44% exhibited gender bias, while 25% showed both gender and racial biases.

According to Google, the team is reviewing the report’s findings. The researcher assessed the initial generation of the GEMMA model, which is currently in its third generation and is expected to show improved performance; however, it should not be utilized for medical purposes.

Source: www.theguardian.com

The fruit fly Drosophila melanogaster employs multiple senses to detect surrounding scents.

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Animals have various ways to detect chemicals in their environment, which differ depending on the species. Mammals use their tongues to taste, while fish and other aquatic creatures use their skin to taste. Insects, on the other hand, have taste buds not only inside their mouths but also outside their bodies.

Researchers have discovered that fruit flies, scientifically known as Drosophila melanogaster, have developed unique ways to utilize their senses of smell and taste to locate food and avoid dangers in diverse habitats. By exploring how fruit flies’ senses have evolved, scientists aim to uncover how these insects have adapted to their surroundings.

To study the sensory capabilities of fruit flies, researchers at the University of Lussanne in Switzerland compared the smells and tastes of different fruit fly species. They collected five essential body parts related to the flies’ senses: 1) larvae head, 2) egg-laying part, 3) front legs, 4) antennae, and 5) mouthparts with palpation structures. These body parts were collected from six closely related species of fruit flies living in various environments and consuming different diets.

The researchers separated male and female fruit flies into three replicates for each sex and species. They anesthetized the adult flies with CO2 to collect samples without causing harm. They separated larvae from their food source and removed their heads for analysis. This process was repeated three times for each body part of the adults, larvae, and egg-laying parts.

Using RNA sequencing technology, scientists examined the genes in different parts of the fruit fly’s body to understand how they respond to stimuli. This method helped identify active and inactive genes in various body parts, shedding light on how Drosophila adapts to its environment. The RNA data was stored in the Genomics Database for future research purposes.

The researchers observed that specific genes controlling smell and taste in fruit flies vary in their activation patterns. Changes in gene activity were influenced by factors like temperature, humidity, and interactions with other organisms. Differences in gene activity between male and female fruit flies were also noted, potentially impacting their mate selection.

The complexity of gene regulation in fruit fly sensory organs may vary across species and sexes, affecting their adaptation to diet and habitat changes. Further research is needed to understand the genetic basis of odor patterns in fruit flies and how it aids in their adaptation.

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Source: sciworthy.com