openai/democratic-inputs
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from Democratic Input to AI Demo Day - HackMD
GitHub - openai/democratic-inputs
Project 1: Case law of AI principle / Policy
Team members:
Quan Ze (Jim) Chen
Kevin Feng
Inyoung Cheong
Amy X. Zhang
King Xia
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.
Project 2: Deliveraive Process using Collective Dialogue
Team members:
Andrew Konya
Lisa Schirch
Colin Irwin
Aviv Ovadya
Description: Developing policies that reflect informed public will using collective dialogues to efficiently scale democratic deliberation and find areas of consensus.
Project 3: Deliberation at Scale
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
Description: Enabling democratic deliberation in small group conversations conducted via AI-facilitated video calls.
Project 4: Democratic Fine-Tuning
Team members:
Joe Edelman
Oliver Klingefjord
Ivan Vendrov
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.
Project 5: Aligned by Energize AI
Team members:
Ethan Shaotran
Ido Pesok
Sam Jones
Description: Developing guidelines for aligning AI models with live, large-scale participation and a 'community notes' algorithm.
Project 6: Generative Social Choice
Team members:
Sara Fish
Paul Gölz
Ariel Procaccia
Gili Rusak
Itai Shapira
Manuel Wüthrich
Description: Distilling a large number of free-text opinions into a concise slate that guarantees fair representation using mathematical arguments from social choice theory.
Project 7: Inclusive AI
Team members:
Yang Wang
Yun Huang
Tanusree Sharma
Dawn Song
Sunny Liu
Jeff Hancock
Description: Facilitating decision-making processes related to AI using a platform with decentralized governance (e.g., DAO) mechanisms that empower underserved groups.
Project 8: Making AI Transparent and Accountable by Rapple
Team members:
Gemma B. Mendoza
Gilian Uy
Don Kevin Hapal
Ogoy San Juan
Maria Ressa
Description: Enabling discussion and understanding of participants' views on complex, polarizing topics via linked offline and online processes.
Project 9: Ubintu AI
Team members:
Ron Eglash
Joshua Mounsey
Micheal Nayebare
Rehema Baguma
Ussen Kimanuka
Description: Returning value to those who help create it while facilitating LLM development and ensuring more inclusive knowledge of African creative work.
Project 10: vTaiwan and Chatham House: Bridging the Recursive Public
Team members:
Alex Krasodomski-Jones
Carl Miller
Flynn Devine
Jia-Wei (Peter) Cui 家瑋 崔
Shu Yang Lin
Description: Using an adapted vTaiwan methodology to create a recursive, connected participatory process for AI.