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Bias in AI amplifies our own biases, finds study | Artificial intelligence systems tend to take on human biases and amplify them, causing people who use that AI to become more biased themselves, finds a new study by UCL researchers.

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#BiasInAI #ArtificialIntelligence #HumanBias #UCLResearch #TechEthics
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Grokipedia was launched by Elon Musk last October with a promise that the AI-written encyclopedia systematically “fixes” left-leaning biases in Wikipedia. New study found Grokipedia is selectively drawing on more-right leaning news sources on the topics of religion, history, literature and art.

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#Grokipedia #BiasInAI #MediaBias
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Science News
New AI models still reproduce racial and gender stereotypes in medicine Read Full Article #AIinMedicine #BiasInAI #HealthTechEthics
🩺 AI in healthcare risks perpetuating racial and gender stereotypes, with new models o3-mini and DeepSeek-R1 showing similar or worse bias rates than GPT-4.

🔍 Researchers found these advanced AI models frequently misrepresented the distribution of race and gender in medical conditions, overrepresenting Black populations in stereotypically associated conditions.

📊 o3-mini showed 78% race and 56% gender misrepresentation, while DeepSeek-R1 showed 89% race and 67% gender misrepresentation.

🔬 Despite enhanced reasoning, the models still exhibit stereotyping, highlighting the need for continuous bias monitoring for safe AI integration in healthcare.

#AIinHealthcare #MedTech #BiasInAI
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