A cross-regional review of AI safety regulations in the commercial aviation

Aviation regulations are ahead of the curve on AI governance: The aviation industry's existing safety frameworks and certification processes provide a model for responsible AI deployment in other safety-critical sectors, demonstrating that stringent oversight of new technologies is feasible and can be standardized across regions.

Regional approaches to AI safety differ significantly: The paper's cross-regional review of the United States, European Union, and China reveals that AI safety policies vary substantially by region, suggesting the need for international coordination to establish consistent standards for AI systems used in global aviation operations.

Standardization and certification are key to safe AI deployment: The paper emphasizes that aviation's tight regulations, standardization processes, and technology certification procedures offer valuable lessons for managing AI vulnerabilities, indicating that formal certification requirements—rather than voluntary guidelines alone—may be necessary for responsible AI implementation.

Early adoption in aviation provides valuable safety insights: Because the aviation industry has historically been a "first mover" in adopting new technologies while maintaining strict safety protocols, studying how it addresses AI risks can inform best practices for responsible AI governance in other industries before widespread deployment occurs.