Fair AI Data is an ethically-sourced AI data marketplace that allows creators to monetize their work by contributing data from platforms like GitHub and DeviantArt. The platform compensates contributors with $FAIR tokens and distributes revenue from AI companies purchasing their data, ensuring creators receive fair rewards for their contributions.
Funding
Funding not disclosed
Founders
Product
Problem
AI models are often trained on datasets scraped without consent, leading to ethical concerns and depriving creators of fair compensation for their contributions. This lack of transparency and equitable distribution of value hinders the development of ethically-sourced AI.
Solution
Fair AI Data provides a marketplace for ethically-sourced AI training data, enabling creators to monetize their work and maintain control over their data. The platform allows contributors to connect their accounts from platforms like GitHub, GitLab, and DeviantArt, select specific creations to contribute, and claim ownership of their data. Contributors are compensated with $FAIR tokens, representing their stake in the revenue generated when AI companies purchase the data for model training. This approach ensures creators receive fair rewards and recognition for their contributions to the AI ecosystem.
Target Audience
The primary target audience includes coders and artists who want to monetize their existing work and contribute to the development of ethically-sourced AI datasets.
Features
- Connects to GitHub, GitLab, and DeviantArt accounts for seamless data contribution
- Allows creators to select specific code or art to include in the AI training dataset
- Compensates contributors with $FAIR tokens, representing ownership and revenue share
- Distributes revenue from AI companies back to the original creators as data dividends
- Provides a transparent and ethical source of data for AI model training
- Offers boosted rewards for early adopters and contributors