Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project

• URL: http://arxiv.org/abs/2407.11613v1
• Date: Tue, 16 Jul 2024 11:22:34 GMT
• Title: Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
• Authors: David Moats, Chandrima Ganguly,
• Abstract summary: We review the Open AI Democratic Inputs programme, which funded 10 teams to design procedures for public participation in generative AI. We identify several shared assumptions including the generality of LLMs, extracting abstract values, soliciting solutions not problems and equating participation with democracy. We call instead for AI participation which involves specific communities and use cases and solicits concrete problems to be remedied.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This commentary piece reviews the recent Open AI Democratic Inputs programme, which funded 10 teams to design procedures for public participation in generative AI. While applauding the technical innovations in these projects, we identify several shared assumptions including the generality of LLMs, extracting abstract values, soliciting solutions not problems and equating participation with democracy. We call instead for AI participation which involves specific communities and use cases and solicits concrete problems to be remedied. We also find it important that these communities have a stake in the outcome, including ownership of data or models.

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