Recommender systems for social good should be co-designed with the communities they affect, across problem definition, design, evaluation, and monitoring.
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
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abstract
Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it can contribute to the process of democratizing the design of technology, setting the focus on what should be designed. However, in the process of PAI there existing institutional power dynamics that hinder the realization of expansive dreams and aspirations of the relevant stakeholders. In this work we propose co-design principals for AI that address institutional power dynamics focusing on Participatory AI with youth.
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2025 1verdicts
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Recommending With, Not For: Co-Designing Recommender Systems for Social Good
Recommender systems for social good should be co-designed with the communities they affect, across problem definition, design, evaluation, and monitoring.