# kaal:claim:5095633-012

**Claim.** The governance protocols required for GDPR and AI Act compliance, including anonymization, data minimization, and explicit consent, themselves complicate the assembly of robust AI training datasets.

**Type.** failure  **Support.** argued

**Holds when.**

- jurisdictions with GDPR-style data protection mandates

**Source quote.**

> which may include anonymization, data minimization, and explicit consent where applicable. These measures can, however, complicate the collection and curation of robust datasets for AI training.

**From.** Wulf A. Kaal, *Artificial Intelligence The Final Frontier* (2025), 2.1.3. Privacy and Security, page 4

**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.** compliance-induced data scarcity  (family: compliance-cost-and-barrier-to-entry)

**Topics.** compliance, governance-design, ai-and-agents

**Keywords.** gdpr, compliance-burden, data-governance, ai-act

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