Crepe introduces a graph-query technique in a no-code Android app for flexible collection of targeted mobile screen data with privacy and consent controls.
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The authors provide a detailed taxonomy of 21 risks associated with language models, covering discrimination, information leaks, misinformation, malicious applications, interaction harms, and societal impacts like job loss and environmental costs.
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
citing papers explorer
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Crepe: A Mobile Screen Data Collector Using Graph Query
Crepe introduces a graph-query technique in a no-code Android app for flexible collection of targeted mobile screen data with privacy and consent controls.
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Ethical and social risks of harm from Language Models
The authors provide a detailed taxonomy of 21 risks associated with language models, covering discrimination, information leaks, misinformation, malicious applications, interaction harms, and societal impacts like job loss and environmental costs.
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Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.