Empirical analysis of 1,524 AI incident reports shows 83% arise from worker-AI trait misalignments, with 74% of those traceable to developers prioritizing efficiency over precision or personalization.
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A participatory design effort at FAccT used in-person sessions and Polis polling to co-create governance input and demonstrate scalable co-design for critical AI communities.
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The Quiet Path from Seemingly Minor Design Errors to Workplace AI Incidents
Empirical analysis of 1,524 AI incident reports shows 83% arise from worker-AI trait misalignments, with 74% of those traceable to developers prioritizing efficiency over precision or personalization.
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"Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
A participatory design effort at FAccT used in-person sessions and Polis polling to co-create governance input and demonstrate scalable co-design for critical AI communities.