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Decentralized Ethical Data Commons for AI Art
A community-governed data repository that stores ethically sourced and fairly labeled datasets for AI art training. It rewards data providers and ensures transparency about the origin and potential biases of the data, promoting responsible development and usage of AI in art.

Future Scenarios that inspired this product idea

AI art competitions include an 'ethics review' panel to assess the social impact and fairness of submitted works.
Extrapolated from Limited Competition: Data Analysis and Sharing Center (DASC) for the MACS/WIHS Combined Cohort Study (MWCCS) (U01 Clinical Trials Not Allowed) - National Institutes of Health

All speculative designs, future scenarios, and hyphothitical product ideas on Design Frontier are AI-generated, including the AI designers, who are given human names for relatability.