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OpenAI Democratic Input Grant Repository

The Democratic Inputs to AI grant program funded 10 teams to develop and test their ideas for processes to help govern AI. We summarized some of their findings in our recap blog post, and here we present a repository where they have shared their code, alongside links to their reports and contact information.

If you would like to see the teams describe their ambitions during the September 2023 OpenAI Demo Day, please watch the recording here.


Table of Contents

  • Case Law for AI Policy
  • Collective Dialogues for Democratic Policy Development
  • Deliberation at Scale: Socially democratic inputs to AI
  • Democratic Fine-Tuning
  • Aligned: An Alignment Platform
  • Generative Social Choice
  • Inclusive.AI: Engaging Underserved Populations in Democratic Decision-Making on AI
  • Making AI Transparent and Accountable by Rappler
  • Ubuntu-AI: A Platform for Equitable and Inclusive Model Training
  • vTaiwan and Chatham House: Bridging the Recursive Public

Case Law for AI Policy

Description: Creating a robust case repository around AI interaction scenarios that can be used to make case-law-inspired judgments through a process that democratically engages experts, laypeople, and key stakeholders.

LINKS: Report; Contact

Team members:

  • Quan Ze (Jim) Chen
  • Kevin Feng
  • Inyoung Cheong
  • Amy X. Zhang
  • King Xia

Collective Dialogues for Democratic Policy Development

Description: Developing policies that reflect informed public will using collective dialogues to efficiently scale democratic deliberation and find areas of consensus.

LINKS: Report; Contact

Team members:

  • Andrew Konya
  • Lisa Schirch
  • Colin Irwin

Deliberation at Scale: Socially democratic inputs to AI

Description: Enabling democratic deliberation in small group conversations conducted via AI-facilitated video calls.

LINKS: Report; Contact

Team members:

  • Jorim Theuns
  • Evelien Nieuwenburg
  • Pepijn Verburg
  • Lei Nelissen
  • Brett Hennig
  • Rich Rippin
  • Ran Haase
  • Aldo de Moor
  • CeesJan Mol
  • Naomi Esther
  • Rolf Kleef
  • Bram Delisse

Democratic Fine-Tuning

Description: Eliciting values from participants in a chat dialogue in order to create a moral graph of values that can be used to fine-tune models.

LINKS: Report; Website; Contact

Team members:

  • Joe Edelman
  • Oliver Klingefjord
  • Ivan Vendrov

Aligned: An Alignment Platform

Description: Developing guidelines for aligning AI models with live, large-scale participation and a 'community notes' algorithm.

LINKS: Report; Contact

Team members:

  • Ethan Shaotran
  • Ido Pesok
  • Sam Jones

Generative Social Choice

Description: Distilling a large number of free-text opinions into a concise slate that guarantees fair representation using mathematical arguments from social choice theory.

LINKS: Report; Contact

Team members:

  • Sara Fish
  • Paul Gölz
  • Ariel Procaccia
  • Gili Rusak
  • Itai Shapira
  • Manuel Wüthrich

Inclusive.AI: Engaging Underserved Populations in Democratic Decision-Making on AI

Description: Facilitating decision-making processes related to AI using a platform with decentralized governance (e.g., DAO) mechanisms that empower underserved groups.

LINKS: Report; Website

Team members:

  • Yang Wang
  • Yun Huang
  • Tanusree Sharma
  • Dawn Song
  • Sunny Liu
  • Jeff Hancock

Making AI Transparent and Accountable by Rappler

Description: Enabling discussion and understanding of participants' views on complex, polarizing topics via linked offline and online processes.

LINKS: Report; Contact

Team members:

  • Gemma B. Mendoza
  • Gilian Uy
  • Don Kevin Hapal
  • Ogoy San Juan
  • Maria Ressa

Ubuntu-AI: A Platform for Equitable and Inclusive Model Training

Description: Returning value to those who help create it while facilitating LLM development and ensuring more inclusive knowledge of African creative work.

LINKS: Report; Website

Team members:

  • Ron Eglash
  • Joshua Mounsey
  • Micheal Nayebare
  • Rehema Baguma
  • Ussen Kimanuka

vTaiwan and Chatham House: Bridging the Recursive Public

Description: Using an adapted vTaiwan methodology to create a recursive, connected participatory process for AI.

LINKS: Report; Website; Contact

Team members:

  • Alex Krasodomski-Jones
  • Carl Miller
  • Flynn Devine
  • Jia-Wei (Peter) Cui
  • Shu Yang Lin