#machine learning
Jun 2026
AME: A Multi-Type Contributor Attribution Framework in Generative AI Markets
This paper formulates multi-stage generative AI value allocation as a new research problem and proposes AME (Attribution-Mapping-Execution) framework, a unified framework that integrates data contribution valuation, data rights mapping, and trustworthy execution into a single workflow.
Yang Shi, Songwen Pei, Yang Gao et al.
· arXiv.org · 0 citations