no code implementations • 25 Sep 2023 • Kar Balan, Alex Black, Simon Jenni, Andrew Gilbert, Andy Parsons, John Collomosse
We report a prototype of DECORAIT, which explores hierarchical clustering and a combination of on/off-chain storage to create a scalable decentralized registry to trace the provenance of GenAI training data in order to determine training consent and reward creatives who contribute that data.
no code implementations • 10 Apr 2023 • Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse
We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI).
