Why you should get paid for your data | Jennifer Zhu Scott

19 Mar 2020 · 14 min
14:19

In this talk, Jennifer Zhu Scott draws on her upbringing in rural China—where state ownership meant universal poverty—to illustrate a modern form of collective deprivation: the exploitation of personal data. She explains how data has become a core economic asset, powering the world’s most valuable tech firms, yet the individuals who generate it receive no compensation. Zhu Scott argues that data should be treated as a privately owned asset, granting individuals the legal right to possess, use, trade, or destroy their data at a price they set. She highlights the importance of pricing power to reflect personal privacy preferences and economic needs, especially for small business owners who could leverage data for faster loan approvals. The talk surveys emerging tools and initiatives—Brave’s attention token rewards, the privacy‑first search engine .dotgo, the Digime data‑consolidation app, and the Universal Basic Data Income (UBDI) program—that aim to return control and monetary value to users. Zhu Scott acknowledges trade‑offs between liberty, equality, and prosperity, noting that while private ownership helped lift 850 million Chinese out of poverty, similar mechanisms are needed to prevent a new digital inequality. She concludes that, given AI’s projected $13 trillion economic contribution, an inclusive model of personal data ownership and compensation is essential for a fair digital future.

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