Algorithmic fairness is framed as a wicked problem solvable via critical pragmatism from urban planning, yielding a flexible framework with recommendations tested on mortgage lending, school choice, and feminicide data cases.
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2 Pith papers cite this work. Polarity classification is still indexing.
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An AI business planning tool deployed in community workshops lowers barriers to capital access but requires peer support to preserve sensemaking and build collective resilience in AI use.
citing papers explorer
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A Critical Pragmatism Approach for Algorithmic Fairness: Lessons from Urban Planning Theory
Algorithmic fairness is framed as a wicked problem solvable via critical pragmatism from urban planning, yielding a flexible framework with recommendations tested on mortgage lending, school choice, and feminicide data cases.
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Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Small Business Center
An AI business planning tool deployed in community workshops lowers barriers to capital access but requires peer support to preserve sensemaking and build collective resilience in AI use.