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Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
April 10, 2024, 4:10 a.m. | Yilin Sai, Qin Wang, Guangsheng Yu, H. M. N. Dilum Bandara, Shiping Chen
cs.CR updates on arXiv.org arxiv.org
Abstract: As Artificial Intelligence (AI) integrates into diverse areas, particularly in content generation, ensuring rightful ownership and ethical use becomes paramount. AI service providers are expected to prioritize responsibly sourcing training data and obtaining licenses from data owners. However, existing studies primarily center on safeguarding static copyrights, which simply treats metadata/datasets as non-fungible items with transferable/trading capabilities, neglecting the dynamic nature of training procedures that can shape an ongoing trajectory.
In this paper, we present \textsc{IBis}, …
artificial artificial intelligence arxiv blockchain center cs.ai cs.cr cs.cy data ethical intelligence licenses ownership paramount prioritize provenance service service providers studies training training data
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