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Fairness, Bias, and Research Governance / Data Labor, Crowdsourced Annotation, and Platform Gig Fairness

How can new active learning strategies reduce the number of labeled samples and improve training efficiency?

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

How can new active learning strategies reduce the number of labeled samples and improve training efficiency?

IUI '23Efficient Human-in-the-loop System for Guiding DNNs Attention

Similar questions

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

What specific forms of human labor are involved in AI system production and maintenance?

CSCW '24The Work of AI: Mapping Human Labour in the AI Pipeline

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

How is human labor distributed across the global AI supply chain, and what inequalities exist?

CSCW '24The Work of AI: Mapping Human Labour in the AI Pipeline

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

How does invisible labor (e.g., emotional labor) affect AI systems' value and social impact?

CSCW '24The Work of AI: Mapping Human Labour in the AI Pipeline

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

How do consumers define and describe fairness in tipping behavior on food delivery platforms, and how does this differ from traditional non-technical media environments?

CHI '24Perceptions of Fairness in Technology-Mediated Marketplaces

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

What role do food delivery platform companies play in consumers' evaluations of fairness?

CHI '24Perceptions of Fairness in Technology-Mediated Marketplaces

helpResearch questionData Labor, Crowdsourced Annotation, and Platform Gig Fairness

How can simple user click operations guide deep neural network attention distributions to reduce bias?

IUI '23Efficient Human-in-the-loop System for Guiding DNNs Attention

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Perceptions of Fairness in Technology-Mediated Marketplaces

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