The Emerging Triad of AI Safety Regulation: EU, California, and New York

Coverage of lessw-blog

· PSEEDR Editorial

In a recent analysis, lessw-blog outlines the converging regulatory frameworks of the European Union, California, and New York regarding advanced AI safety, highlighting a shift from voluntary commitments to statutory mandates.

In a recent post, lessw-blog provides a concise comparative analysis of the three major pieces of legislation currently addressing extreme risks from advanced Artificial Intelligence. As the capabilities of frontier models accelerate, the regulatory landscape is shifting from theoretical ethics to hard law. For developers, policy analysts, and industry stakeholders, understanding this transition is no longer optional-it is a compliance necessity.

The Context: From Principles to Penalties

For years, AI safety has largely been governed by internal corporate policies and voluntary agreements. However, 2024 and 2025 mark a turning point where major economic powers are codifying these safety requirements. The analysis focuses on the EU AI Act (enacted May 2024), California's SB 53 (slated for September 2025), and New York's RAISE Act (December 2025). These jurisdictions represent significant market shares, meaning their combined regulatory weight will likely set the de facto global standard for advanced model development.

The Core Mandates: Protocols and Reporting

The source identifies a unifying structure across these distinct laws. Despite their geographical and political differences, all three frameworks impose two fundamental obligations on developers of "advanced general-purpose AI models":

Divergence in Enforcement and Scope

While the structural requirements are similar, lessw-blog notes significant variations in execution and penalties. The European Union adopts the most aggressive stance on enforcement, with potential penalties reaching €15 million or 3% of global turnover. In contrast, the U.S. state-level regulations in California and New York propose caps between $1 million and $3 million.

Furthermore, the definitions of "critical harm" reveal different legislative priorities. The EU AI Act employs broad, qualitative definitions including irreversible infrastructure disruption and violations of fundamental rights. Conversely, California's SB 53 relies on specific quantitative thresholds, such as incidents resulting in 50 deaths or damages exceeding $1 billion. These nuances create a complex compliance matrix for global AI companies, who must now navigate differing audit requirements and liability thresholds.

Conclusion

This post serves as a vital primer for understanding the fragmented yet converging state of global AI governance. As these laws come into effect over the next 18 months, the operational reality for AI labs will change drastically. We recommend reading the full summary to grasp the specific timelines and liability details that will shape the next generation of AI development.

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Key Takeaways

Read the original post at lessw-blog

Sources