# kaal:claim:5095633-006

**Claim.** Privacy rules, copyright, and the uneven global distribution of digital connectivity independently reduce both the availability and the diversity of human-generated text for AI training.

**Type.** mechanism  **Support.** asserted

**Source quote.**

> issues such as privacy, copyright, and the uneven global distribution of digital connectivity further exacerbate these shortcomings by curtailing the availability and diversity of human- generated textual content.

**From.** Wulf A. Kaal, *Artificial Intelligence The Final Frontier* (2025), I. Introduction, page 2

**Cite as.** Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633

**Verify.** sha256 of source PDF `cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202025%20-%20Artificial%20Intelligence%20The%20Final%20Frontier.pdf

**Failure mode.** connectivity and legal constriction of supply  (family: data-quality-and-comparability)

**Topics.** consensus-and-security

**Keywords.** privacy, copyright, digital-divide, data-diversity

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.
