InclusiveAI: Equitable AI Governance via DAOs and Plural QV
Implementing and testing Democratic AI Governance tools using DAO, plural quadratic voting, and empirical validation with diverse user groups to enhance equitable AI decision-making and address power imbalances.User Review
AI Review
A1
Reviewed on 15 Feb 2024 06:53 AM
You are a researcher. To qualify for this round you need to have a track record of research. This can be as part of an academic affiliation or as an independent researcher. If you are applying for a grant for your first research project, email hello@metagov.org with more info on why you are the right person to conduct this research.
The team members listed for the project, including a Ph.D. candidate and a Ph.D. student with relevant expertise, indicate a track record of research. The provided user Github also shows recent activity, which may relate to research efforts.
Governance focus for the research. We will only accept grants that have a clear focus on governance. As noted in the description, you don’t necessarily need to focus exclusively on DAO or web3 governance, but your research needs to be applicable to decentralized governance broadly. A focus on Arbitrum or Uniswap is appreciated but not required.
The project's description and its objectives, including the exploration of DAO mechanisms and quadratic voting within the context of AI governance, demonstrate a clear focus on decentralized governance.
No for-profit funding. If you have received VC funding or any other kind of funding that requires a return on investment, then it will not qualify. It is ok if you’ve received other grants.
The project has indicated previous funding from OpenAI, which is consistent with grant funding and does not imply a requirement for return on investment.
No retrospective funding. The research must either be launched soon or currently ongoing. Completed projects are not eligible for funding in this round.
The project is described as currently ongoing and moving into a new phase, indicating that it is neither launched soon nor completed, thus qualifying for funding.