# kaal:claim:5095633-040

**Claim.** Solving data bias, computational overhead, stale datasets, privacy constraints, and inequitable compensation cannot be done within any single discipline; it requires concerted interdisciplinary effort across governments, corporations, researchers, and civil society.

**Type.** normative  **Support.** argued

**Source quote.**

> addressing the challenges outlined herein—data bias, high computational overhead, stagnant or outdated datasets, privacy and security constraints, and inequitable compensation structures—requires concerted, interdisciplinary efforts.

**From.** Wulf A. Kaal, *Artificial Intelligence The Final Frontier* (2025), 6. Conclusion, page 21

**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

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

**Keywords.** interdisciplinary-governance, policy, ai-data-governance, collaboration

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