Artificial intelligence (AI) has transitioned from a future fantasy to a current working capability. It is expanding faster than it inspires and frightens. With the emergence of agentic AI, generative AI, cognitive AI, affective AI, and many other AI forms, some say the world is moving toward building AI smarter than humans. It draws a direct parallel to the invention of the atomic bomb in its potential for irreversible impact. As governments rush to harness AI efficiency, malicious actors build AI systems that may soon exceed human control. 2024 Nobel Prize winner Geoffrey Hinton, the "Godfather of AI," issued a stark warning in an interview with BBC Radio 4's Today program that aired on December 27, 2024. Hinton revisited his prediction that AI would lead to human extinction in the next 30 years, saying the risk was closer than we think. This article critically examines the regulatory approaches taking shape across jurisdictions, including the European Union, the United States, China, India, and Canada. We also explore the specific incentives behind their legislative activities, which include human rights protection, international competitiveness, geopolitical dynamics, and social concerns regarding emerging technologies. Our analysis reveals that despite these efforts, current national laws and rules still create a fragmented patchwork rather than a cohesive and proactive global framework. This particular fragmentation distinctly highlights not only convergent aims, such as prioritizing public safety, but also divergent fundamental assumptions, particularly concerning the ideal balance between comprehensive state control and promoting rapid market innovation. While countries continue to craft their regulations tailored to local needs, in order to make AI safe for everyone we must establish global AI principles and cross-border rules to ensure consistency, foster trust, and manage risks that transcend national boundaries. By pairing strong local governance with harmonized international standards, we can co-create AI systems that adhere to ethical principles like transparency, accountability, and professional oversight to promote societal well-being. The world needs a "Geneva Convention for AI" to guide this collaborative effort
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Durga P. Chavali
Jeffrey Johnson
Peter Denning
Ubiquity
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Chavali et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69faa2b504f884e66b533426 — DOI: https://doi.org/10.1145/3807969