Introduction
This morning, while enjoying a delicious cup of coffee, I came across some interesting news.
The proliferation of generative AI and AI agents is rapidly changing business operations. However, at the same time, more and more companies are struggling with questions such as "How do we manage the risks of AI?" and "Which rules should we follow?"
Actually, currently in the worldOver 800-900 AI-related rulesIt is said that such regulations exist. Moreover, since regulatory approaches differ from country to country, it is not easy for companies to deal with them.
This article provides a clear explanation of the latest trends in global AI regulations and the concept of "AI governance" that companies should adopt.
What is "AI governance," which is essential in the age of AI?
As AI adoption progresses, what is important for companies isAI governanceis.
AI governance refers to the management system for the safe and ethical use of AI.
For example, there are challenges like the following:
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AI misjudgments and biases
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Handling of personal information
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Copyright and data usage
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Spreading misinformation
To manage these risks, companiesIt is necessary to establish internal rules and management systems.There is.
However, the problem is,The lack of unified global regulationsis.
Therefore, companies need to constantly monitor developments in various countries and flexibly update their rules accordingly.
Different AI regulatory policies in the EU, Japan, and the United States.
Currently, approaches to AI regulation vary greatly from region to region.
① EU: Strict regulatory model
European UnionSo, in 2024, the world's first comprehensive AI regulation will be
EU AI Act It has come into effect.
The features are as follows:
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Classification according to AI risk
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High-risk AI will face strict obligations.
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Violators face hefty fines.
so-called"Hard Law" type regulationsThis system imposes strong legal obligations on companies.
② Japan: A flexible model centered on guidelines
JapanSo in 2025
Act on Promotion of Research and Development and Utilization of AI-Related TechnologiesIt has been approved.
The characteristics of this system are
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Framework to promote the use of AI
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Guidelines-focused
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Emphasis on companies' voluntary responses
In other words, Japan,"Soft Law" type regulationsWe use this method.
③ United States: Towards federal-level unification
United StatesUntil now, AI regulations have been in place on a state-by-state basis.
However, too many regulations can hinder innovation, so currentlyCreating unified rules at the federal levelThis is being implemented.
For the time being, the focus will be on guidelines, but there is a possibility that these will develop into stricter regulations in the future.
Key points for AI management that companies should adopt
AI regulations will continue to evolve, so companies will need to be flexible in their responses.
The three most important points are as follows:
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Establishing internal AI rules
Create AI usage guidelines and a checking system. -
Regular rule reviews
Updates to reflect changes in technology and regulations (approximately every 3 months). -
Monitoring of international regulations
We will continue to monitor developments in the EU, the US, and Japan.
AI governance is not just IT management,Key themes in corporate managementIt is becoming that way.
Summary
With the spread of AI, regulations are being rapidly developed around the world.
especially
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EU: Strict legal regulations
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Japan: Guideline-focused
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United States: Considering unified rules
As you can see, the approach differs from region to region.
Therefore, companiesAI governance that is continuously updated, rather than based on fixed rules.It is important to build this.
AI is a technology with immense potential. When used under appropriate rules, it can significantly boost a company's growth.
Have a great day! See you tomorrow.
