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Cambridge researchers studying a forest in northern India have found that the wildlife monitoring technologies are being deliberately misused by local government & male villagers to spy on women & stop them collecting natural resources despite it being their legal right to do so.

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#WildlifeProtection #GenderEquality #TechForGood #EnvironmentalJustice #HumanRights
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One of the most cited AI models used to scan chest x-rays doesn’t accurately detect potentially life-threatening diseases in women & Black people. Black women fell to the bottom, with the AI not detecting disease in half of them for conditions such as cardiomegaly, or enlargement of the heart.

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#AIBias #HealthcareEquity #WomenInMedicine #BlackHealthMatters #TechForGood
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Robots powered by popular AI models risk encouraging discrimination and violence 🤖⚠️. Research found every tested model was prone to discrimination, failed critical safety checks 🚫 and approved at least one command that could result in serious harm ⚔️.

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#AIethics #Robotics #TechForGood #Discrimination #SafetyConcerns
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Science News
Engineers at UT Austin are making a jacket that pulls drinking water from the air Read Full Article #WaterFromAir #UTAustinTech #SustainableEngineering
💧 UT Austin engineers have created a jacket that harvests drinking water from the air, producing 400-900 ml (14-30 oz) daily, depending on humidity.

☀️ The technology uses a special textile that funnels moisture to detachable units, which are then heated to produce water. This textile shows a 3- to 10-fold improvement over conventional materials.

🏜️ A related device from the same team captured a record 1.3 liters of clean water per day in both arid and semi-humid areas, demonstrating potential for water-stressed regions.

#WaterHarvesting #TexasInnovation #TechForGood
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Science News
A three-minute smartphone game can detect a subtle cognitive mechanism behind depression Read Full Article #MentalHealth #CognitiveScience #DepressionDetection
🍎 A new study in the Proceedings of the National Academy of Sciences suggests people with depression have a higher baseline expectation for pleasure, making it harder to enjoy rewarding activities. A simple 3-minute smartphone game can detect this shift, potentially offering a quick assessment tool.

🎮 Researchers from NYU Langone Health found that adults with major depressive disorder had a ~50% higher reward expectation compared to healthy adults in a virtual foraging game. Their quitting points in the game strongly correlated with depression severity, and the game accurately separated patients from healthy adults.

🧠 In a second task, individuals with depression showed an inflexible response when adapting their reward expectations to changing environments, failing to return to their baseline bids, unlike healthy participants. This "reference point stickiness" may be a key mechanism in anhedonia.

#DepressionResearch #MentalHealth #TechForGood