How to Link Aggregated and Individual Data in the AI!

AI generates enormous value from aggregated data. The individuals whose lives produced that data receive nothing. The value flows upward. It does not flow back.

In this episode, we examine a foundational feature of the modern data economy that legal systems have failed to address: the missing link between aggregated and individual data.

We break down how three major jurisdictions have each severed this link in their own way:

• The United States preserves a conceptual connection through the doctrine of latent value—but courts refuse to recognize it. We discuss Moore v. Centrelake Medical Group and Allstate v. Fougere, and why the absence of a market for individual data does not make that data worthless.
• The European Union treats personal data as an inalienable personality right under the GDPR. Once anonymized and aggregated, it falls outside the regulation entirely. The sui generis database right protects the aggregator, not the contributor.
• China follows the same severance logic under the PIPL, excluding anonymized data from its scope while a separate framework treats it as a tradable asset for aggregators.

We also confront the communist alternative: socializing the means of data production would restore the link, but only by subjecting the individual to collective surveillance. The individual remains dispossessed—and watched.

The solution lies in technology and law. We explore a two-part proposal:

1. Data provenance — Cryptographic markers embedded at collection, preserved through aggregation, creating an auditable link between aggregate and contributors.
2. Value attribution — Amended data protection laws requiring provenance as a condition of lawful aggregation and recognizing a right to value transfer when anonymized data is commercialized.

Those who contribute to the most valuable asset of the digital age deserve a share in its value.

Read the full analysis: https://virtuslegis.com/aggregated-and-individual-data-in-the-ai/

⚠️ Disclaimer: Please refer to the original blogpost at https://virtuslegis.com/aggregated-and-individual-data-in-the-ai/for the authoritative version. The channel accepts no responsibility for views or conclusions expressed in this AI generated podcast.

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