Equitable Data-Value Exchange (EDVEX) is a framework proposed to address economic inequality in the machine learning value chain. It aims to create a minimal market where data generators receive fair economic equity, counteracting the current system where value disproportionately accrues to data aggregators.
Equitable Data-Value Exchange (EDVEX) is a proposed framework to fix the unfair economics in how data is used for AI. It aims to ensure that people who create data get a fair share of its value, rather than most of the profit going to big data companies. This is important for making AI development sustainable and ethical in the long run.
EDVEX
Was this definition helpful?