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Saturday 26 September 2026 12:59:23 GMT

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Owen :

🤪🤪🤪😂😂😂

2026-09-26 13:44:25

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JOEY B :

2026-09-26 15:13:12

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JOEY B :

2026-09-26 15:13:05

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2026-09-26 15:13:02

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amokoblb :

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2026-09-26 13:47:23

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“Human in the loop” can sound like a reassuring safeguard, but what does that oversight actually look like in practice? Simply having a human involved doesn’t necessarily mean the AI’s decisions or outputs are being meaningfully scrutinized. The real question isn’t just whether a human is involved, but how closely they’re actually checking the AI’s output. Human in the loop or scapegoat in the loop? #ScienceTok #LearnOnTikTok #responsibility #dwscience Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction, Elish et al., Engaging Science, Technology, and Society, 2019 https://bit.ly/4iKTa0v Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance, Dratsch et al., Radiological Society of North America, 2023 https://bit.ly/4iGVtSd Complacency and bias in human use of automation: an attentional Integration, Parasuraman et al., Hum Factors, 2010 https://bit.ly/4iKTbl5 Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography, Bernstein et al., European Radiology, 2023 https://bit.ly/4hiuuKg

“Human in the loop” can sound like a reassuring safeguard, but what does that oversight actually look like in practice? Simply having a human involved doesn’t necessarily mean the AI’s decisions or outputs are being meaningfully scrutinized. The real question isn’t just whether a human is involved, but how closely they’re actually checking the AI’s output. Human in the loop or scapegoat in the loop? #ScienceTok #LearnOnTikTok #responsibility #dwscience Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction, Elish et al., Engaging Science, Technology, and Society, 2019 https://bit.ly/4iKTa0v Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance, Dratsch et al., Radiological Society of North America, 2023 https://bit.ly/4iGVtSd Complacency and bias in human use of automation: an attentional Integration, Parasuraman et al., Hum Factors, 2010 https://bit.ly/4iKTbl5 Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography, Bernstein et al., European Radiology, 2023 https://bit.ly/4hiuuKg

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🥷🏿 . . . . #alone #nature #fyp ##night

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