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Paco Nathan  
2018-11-17 19:05:31

This talk examines decentralized data markets with components based on smart contracts, token-curated registries, DApps, voting mechanisms, etc. – blockchain technologies – which allow multiple parties to curate ML training datasets in ways that are transparent, auditable, secure, and allow equitable payouts that take social values into account.