Open source decentralized data markets for training AI in areas of large shared risk
January 11, 2020
Paco Nathan examines decentralized data markets. With components based on blockchain technologiessmart contracts, token-curated registries, DApps, voting mechanisms, etc.decentralized data markets allow multiple parties to curate ML training datasets in ways that are transparent, auditable, and secure and allow equitable payouts that take social values into account.