AI

17 Countries Unite Around Principles for an AI-Centered Shift in Scientific Research

AI TIMES ·

[Photo: our database] Michael Kratsios, Director of the White House Office of Science and Technology Policy and the U.S. Chief Technology Officer.

✦ AI Summary

According to AI TIMES, 17 countries, including the United States and South Korea, adopted the "Kyoto Science Vision" in Kyoto, Japan, on Oct…

According to AI TIMES, 17 countries, including the United States and South Korea, adopted the "Kyoto Science Vision" in Kyoto, Japan, on Oct. 4, positioning AI as core infrastructure for scientific research. The declaration called for AI to be deeply integrated into the research workflow, from hypothesis generation to analysis and experimentation, rather than left as a mere support tool. It also raised concerns about reforming how research institutions operate and how research funding is allocated so that long-term support, rapid execution and challenge-oriented funding can work together. It laid out trust principles including reproducibility and transparency in research, the communication of errors and uncertainty, and the acknowledgment of negative results. It also reflected the view that as AI takes on more of the cognitive work in research, hands-on capabilities for handling and operating laboratory equipment will become even more important. In what appears to be a move by the United States to expand its domestic science and technology research reform plan into an international cooperation framework, the article says the reforms that follow in each country will matter more than the declaration itself.

Perspective

The key point here is not the AI adoption declaration itself, but that the rules of scientific research have begun to change. Researchers must go beyond simply using a tool and rethink the entire research design and execution system, institutions must redesign evaluation and support methods, and industry must also prepare for an environment in which data, computing and experimental infrastructure operate as a single package. In the end, competitiveness may increasingly depend less on who has the better model and more on who can embed that model into research sites and institutions fastest.

This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.

This article was produced with the help of an automated content generation algorithm.


Source: AI TIMES

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This article was summarized and organized by BizCrush based on the original article from AI TIMES. For exact quotations and full details, please refer to the original article.