The two nations are charting distinct paths in their governance strategies. Japan takes a decentralized, stakeholder-led approach, focusing on planning, infrastructure, and voluntary cooperation. In contrast, the EU takes a centralized, regulatory approach, focusing on binding obligations, sanctions, and enforcement mechanisms.

Japan’s AI Promotion Bill

Japan’s AI Promotion Bill, passed in 2024, is a comprehensive law that aims to support AI research, development, and use. The bill covers:

• Supporting research and development from basic research to real-world application
• Promoting AI across sectors, including public services and industry
• Preventing misuse by ensuring transparency and aligning with international norms
• Actively participating in the international formulation of norms
• Building AI skills through education and training

The law establishes an AI Strategy Headquarters, chaired by the Prime Minister, to steer the plan and bring together stakeholders. It also assigns responsibilities to various entities, including the Central Government, local governments, universities, and companies.

The EU’s AI Act

The EU’s AI Act, passed in March 2024, is a wide-ranging law that governs AI use across its member states. The law categorizes AI systems into four categories:

1. Prohibited: Systems that manipulate behaviour, use live biometric identification, or enable social scoring are banned.
2. High-risk: AI used in critical areas like healthcare, law enforcement, and education is allowed but subject to strict oversight and regulation.
3. General Purpose AI (GPAI): Tools such as ChatGPT must disclose training data summaries and comply with EU copyright laws. If a general-purpose AI tool poses broader risks, it must meet extra regulatory requirements.
4. Minimal Risk: This level includes all other AI systems that do not fall under the above-mentioned categories, such as a spam filter.

The EU also allows for regulatory sandboxes to support innovation and exempts AI systems used for national security from the AI Act’s scope.

Comparing Approaches

Japan and the EU have embodied divergent strategies regarding how to regulate AI. Japan’s approach prioritizes coordination, innovation, and stakeholder engagement, while the EU’s approach is more stringent, focusing on binding obligations, sanctions, and enforcement mechanisms.

Japan’s Decentralized Approach

Japan’s AI Promotion Bill establishes an AI Strategy Headquarters, chaired by the Prime Minister, to steer the plan and bring together stakeholders. This decentralized approach focuses on planning, infrastructure, and voluntary cooperation.

EU’s Centralized Approach

The EU’s AI Act categorizes AI systems into four categories and introduces binding obligations, sanctions, and enforcement mechanisms. This centralized approach aims to mitigate harm to individuals, public safety, and democratic processes.

Key Differences

• Decentralized vs. Centralized: Japan’s approach is decentralized, while the EU’s approach is centralized.
• Innovation vs. Regulation: Japan prioritizes innovation and coordination, while the EU focuses on regulation and control.
• Stakeholder Engagement: Japan involves stakeholders in the planning process, while the EU relies on binding obligations and sanctions.

Why this Matters

The contrast between Japan and the EU’s approaches highlights the need for a balanced approach that supports innovation while protecting rights. India’s current position, focusing on promoting AI research and development, may be beneficial but lacks a centralized legislative or enforcement mechanism.

India’s Current Position

India has yet to chart out a well-defined strategy for the governance of AI. While the government approved the IndiaAI Mission in March 2024 with a budget outlay of Rs. 10,371.92 crore, the initiative is primarily focused on promoting AI research and development rather than regulation.

Why this Matters for India

India’s current position lacks a centralized legislative or enforcement mechanism, which may pose challenges if something goes awry. The country may benefit from exploring Japan’s decentralized approach, which prioritizes coordination, innovation, and stakeholder engagement.

What Japan and the EU Can Teach India

Japan’s model might be worth exploring. It prioritizes coordination, infrastructure, and partnership, which are elements that can help India scale up computing resources, engage academia, and streamline policy across agencies.

EU’s Strong Regulatory Framework

The EU’s AI Act shows what strong, proactive regulation looks like. By legally addressing AI risks, the EU hopes to prevent misuse from the start. Without something similar, India may struggle to stop harmful AI applications from slipping through the cracks.

A Balanced Approach for India

India now faces a decision. Should it pursue a trust-based model like Japan’s? Or build a legal and institutional framework similar to the EU’s? A balanced approach supporting innovation while protecting rights may be its best way forward.

Conclusion

The contrast between Japan and the EU’s approaches highlights the need for a balanced approach that supports innovation while protecting rights. India’s current position, focusing on promoting AI research and development, may be beneficial but lacks a centralized legislative or enforcement mechanism. A balanced approach that incorporates elements from both Japan and the EU’s models may be the best way forward for India.