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Updated: Jun 12, 2025
08:58
Artificial Intelligence Approaches to Assessing Primary Cilia
Published on: May 1, 2021
3.4K
Bringing AI participation down to scale
David Moats1,2, Chandrima Ganguly3
1University of Helsinki, P.O. Box 3, 00014 Helsinki, Finland.
Patterns (New York, N.Y.)
|June 9, 2025
Summary
OpenAI funded teams to explore public participation in generative artificial intelligence (AI). The project revealed unspoken assumptions, suggesting broader, external input for future AI development.
Area of Science:
- Artificial Intelligence
- Public Policy
- Technology Ethics
Background:
- OpenAI's Democratic Inputs program initiated a project in 2023.
- Ten teams were funded to develop public participation procedures for generative AI.
- This study offers a perspective on the project's outcomes.
Purpose of the Study:
- To review the results of OpenAI's Democratic Inputs program.
- To identify shared, implicit assumptions within the funded participation projects.
- To advocate for diverse and external participation models in AI development.
Main Methods:
- Review of project outcomes from OpenAI's Democratic Inputs program.
- Interviews with participating teams.
- Analysis of conducted participation exercises.
Main Results:
- Identification of several common, unstated assumptions across the 10 teams.
- Insights into the practical challenges and successes of public participation initiatives in AI.
- Understanding of the limitations of current participation frameworks.
Conclusions:
- The project highlighted the need for more explicit and diverse approaches to public input in AI.
- Alternative participation models, particularly those originating outside the tech industry, are encouraged.
- Future AI governance could benefit from broader societal engagement.
