Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
Accessed: 2025-03-07
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Thematic analysis of 43 AI contestation cases, using Bovens's relational accountability model, produces categories of demands from below, institutional pushback, outcomes, and contextual factors shaping effective contestation.
The authors propose a reflexive ethics protocol for AI analyses of platform data that maps how technical choices at four pipeline stages can enact new vulnerabilities, illustrated by quantifying child presence in monetized family vlogs.
AI researchers are implicated subjects in AI weapons harms and can transform their position into differentiated solidarity with victims of these technologies.
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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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Push and Pushback in Contesting AI: Demands for and Resistance to Accountability
Thematic analysis of 43 AI contestation cases, using Bovens's relational accountability model, produces categories of demands from below, institutional pushback, outcomes, and contextual factors shaping effective contestation.
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From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives
The authors propose a reflexive ethics protocol for AI analyses of platform data that maps how technical choices at four pipeline stages can enact new vulnerabilities, illustrated by quantifying child presence in monetized family vlogs.
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The implicated scientist: on the role of AI researchers in the development of weapons systems
AI researchers are implicated subjects in AI weapons harms and can transform their position into differentiated solidarity with victims of these technologies.