The Fair-Trade Data Framework (FTDF) redefines how human-generated information is handled in artificial-intelligence systems. Its mission: to ensure that every datum used in AI training or analytics is lawful, consent-based, traceable, and ethically compensated, without compromising individual privacy.The framework provides a unified set of technical, legal, and ethical instruments to transform data collection from an extractive model into a collaborative, auditable, and fair-value ecosystem.
David Glowalla (Thu,) studied this question.