Participatory design study with 17 practitioners yields a three-level trust-calibrated review workflow for LLM-generated multi-file code changes, validated positively by 43 practitioners in survey.
2020.Design Justice: Community-Led Practices to Build the Worlds We Need
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces PAU as a governance architecture for municipal AI in public spaces, informed by case studies on subgroup-aware scaling (R2=0.89) and pluralistic preference data that treats neutrality as indeterminacy.
citing papers explorer
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Trust-Calibrated Code Review: A Participatory Design Study of Review Workflows for LLM-Generated Multi-File Changes
Participatory design study with 17 practitioners yields a three-level trust-calibrated review workflow for LLM-generated multi-file code changes, validated positively by 43 practitioners in survey.
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Pluralistic-Alignment Urbanism: Operationalizing a Right to AI for Inclusive Public Space
Introduces PAU as a governance architecture for municipal AI in public spaces, informed by case studies on subgroup-aware scaling (R2=0.89) and pluralistic preference data that treats neutrality as indeterminacy.