The AI regulation dilemma (balancing safety with innovation) is universal, yet each jurisdiction pursues unique solutions. China, the EU, and the U.S. each take distinct approaches to harness AI's potential while mitigating its risks. At the same time, AI ethics principles have emerged worldwide, revealing both common ground and notable differences across legal and ethical frameworks. This article examines how major jurisdictions regulate AI, the varied directions they take, and the underlying rationales driving their approaches.

California proposed a bill to regulate AI and mitigate potential risks, but was eventually vetoed. In this article, I explore what was this bill trying to fix, its shortcomings and what's ahead. I also compare it with the EU AI Act at a high level, to more clearly understand how they differ, and the different rationales behind the two approaches.

China’s AI ambitions are clashing with the government’s need to control political narratives, causing a significant drag on its progress in generative AI.

China's journey toward regulating AI has reached a critical crossroads. The country now stands at the forefront of AI development with the potential to influence global standards. Yet, there are concerns about the balance between fostering innovation and mitigating risks—aka the "AI Dilemma."

Regulation of AI is still uncertain in many parts of the world, and the best way to prepare to it is by applying AI ethics principles.