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December 1, 2025ACM SIGCAS Computers and Society

Community Voice in Policy Action: Leveraging Participatory Research Methods to Address Representational Bias in AI Systems

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Key Points

This research aims to identify and address representational bias in AI systems through community engagement.
Utilized participatory research methods to gather community insights.
Analyzed the impact of large language models on marginalized groups.
Examined cultural differences in AI application across various regions.
Highlighted systematic underrepresentation of marginalized communities in AI outputs.
Identified specific areas where AI technologies erode cultural representation.
Proposed policy recommendations to incorporate community voices in AI development processes.

Implication

Participatory research challenges bias in AI systems affecting marginalized communities, suggesting new policy directions.

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Cite This Study

Agrima Seth (2025) studied this question.

synapsesocial.com/papers/69a3d873ec16d51705d2f5b5 https://doi.org/10.1145/3798139.3798145

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