Global Future Council on Data Frontiers

Global Future Council on Data Frontiers

The rapid advancement of AI and genAI, along with the melding of human and machine capabilities, requires new frameworks for responsible data and IP governance.

AI-generated and synthetic data emerge as double-edged, offering significant opportunities to drive AI advancement, address data scarcity and strengthen privacy, but also complicating IP ownership while introducing risks such as amplification of biases, generation of misleading data and the specter of AI autophagy and “model collapse.”

How can the transformative potential of synthetic data and genAI be harnessed to preserve agency and ensure equitable outcomes, appropriate attribution, privacy safeguards and fair benefit sharing?

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