DeSets Protocol
Decentralized datasets to train AI for future
Created on 10th December 2023
•
DeSets Protocol
Decentralized datasets to train AI for future
The problem DeSets Protocol solves
Some of the potential risk of current AI infrastructure are:
Centralization Risks:
- Centralized AI datasets pose privacy and bias issues due to concentrated control.
Incentive Gap:
- Lack of incentives hinders user participation in sharing valuable datasets for AI training.
Data Misuse Threat:
- Centralized models risk data misuse, necessitating a decentralized solution for ethical AI training.
We plan on to solve these issues with DeSets protocol
Challenges I ran into
Building a working project in 36 hours was a bit challenging task. At the end i was able to integrate sdks and deploy contracts on chains.
Tracks Applied (4)
Filecoin Track
Filecoin
Base Track
Base
Lighthouse.storage Track
lighthouse
Scroll Track
Scroll
Technologies used
Cheer Project
Cheering for a project means supporting a project you like with as little as 0.0025 ETH. Right now, you can Cheer using ETH on Arbitrum, Optimism and Base.
Discussion
Builders also viewed
See more projects on Devfolio
