Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
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Accurate individual predictions by AI recommenders produce societal harms through functional misalignment with human reflective goals, driven by fast-signal bias, feedback loops, and collective dynamics.
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From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
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Functional Misalignment in Human-AI Interactions on Digital Platforms
Accurate individual predictions by AI recommenders produce societal harms through functional misalignment with human reflective goals, driven by fast-signal bias, feedback loops, and collective dynamics.