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

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.