AI Researchers Say the International Community Should Manage the Pace of AI Development [Global AI Briefing]

[Financial News] Researchers from major artificial intelligence companies, including OpenAI, Google DeepMind, Meta Platforms, and Anthropic, have urged the United States government to build global governance to manage the pace of AI development, saying that "AI is developing AI on its own, and that is accelerating the development process."
As competition in generative AI has emerged as a key factor not only in technological development but also in national security and industrial competitiveness, voices inside the industry warning that an unrestricted race for speed is dangerous are now being raised publicly.

According to The Verge on the 28th local time, more than 1,100 AI researchers and engineers said in a joint open letter to the United States government that a global framework should be created to prepare for "automated AI development."
The researchers warned that if this AI industry model, in which AI develops AI on its own, becomes widespread, the pace of AI progress could outstrip the ability of human researchers and regulators to verify it.
They argued that AI already supports much of the development process, including code writing, algorithm optimization, and research paper analysis. In the future, they said, it is likely to evolve to the point where AI independently designs new AI models and improves their performance.
They also warned that if autonomous AI research becomes common, risks such as cyberattacks, misuse in biological research, and the spread of disinformation could escalate much faster. They stressed that these risks cannot be addressed by individual countries alone, and that major nations must establish common standards and build a system for international cooperation.
The open letter urged the United States government to support international efforts to create technical and institutional tools that can regulate "automated AI development."
The researchers emphasized that they are not calling for AI development to stop or for innovation to be blocked. Rather, they said policy is needed to manage the pace of development so that safety evaluations, security checks, and social response systems can keep up with technological progress.

[email protected] Lee Gu-soon Reporter