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.
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.
Team members:
Description: Developing policies that reflect informed public will using collective dialogues to efficiently scale democratic deliberation and find areas of consensus.
Team members:
Description: Enabling democratic deliberation in small group conversations conducted via AI-facilitated video calls.
Team members:
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:
Description: Developing guidelines for aligning AI models with live, large-scale participation and a 'community notes' algorithm.
Team members:
Description: Distilling a large number of free-text opinions into a concise slate that guarantees fair representation using mathematical arguments from social choice theory.
Team members:
Description: Facilitating decision-making processes related to AI using a platform with decentralized governance (e.g., DAO) mechanisms that empower underserved groups.
Team members:
Description: Enabling discussion and understanding of participants' views on complex, polarizing topics via linked offline and online processes.
Team members:
Description: Returning value to those who help create it while facilitating LLM development and ensuring more inclusive knowledge of African creative work.
Team members:
Description: Using an adapted vTaiwan methodology to create a recursive, connected participatory process for AI.
LINKS: Report; Website; Contact
Team members: