India should pay close attention to the European Union’s decision to revise its AI regulatory approach. The EU’s AI framework was initially presented as a landmark attempt to regulate artificial intelligence through a risk-based system, but implementation has exposed concerns around complexity, compliance costs and whether regulation is keeping pace with rapidly changing technology. The recent “AI reset” demonstrates that even ambitious regulatory frameworks need to be adaptable.
For India, the key lesson is that AI governance should not become overly rigid or compliance-heavy too early. India is trying to encourage AI innovation while also addressing issues such as safety, privacy, misinformation and accountability. Rather than copying the EU model wholesale, India could focus on principles and outcomes, allowing detailed rules to evolve as the technology and evidence develop.
The article also highlights the importance of regulatory experimentation and institutional capacity. India needs policymakers who can continuously evaluate whether AI rules are actually improving safety and accountability without unnecessarily restricting useful applications. This means involving industry, researchers and civil society while building mechanisms that allow regulations to be updated when they prove ineffective or burdensome.
The broader takeaway is that good AI regulation is not about creating the most comprehensive rulebook—it is about creating a framework that can evolve. The EU experience gives India an opportunity to avoid some early mistakes while developing its own approach suited to Indian conditions. India can aim for a middle path: strong safeguards for genuinely high-risk AI, lighter rules for experimentation and innovation, and a regulatory system capable of changing as the technology changes.
