Rahul Mehta Highlights Urgent Need for AI-Specific Regulations in India Amid Emerging Grok-Like Challenges
In a recent article published by Business Standard titled “India needs specific AI regulations for Grok-like issues”, Rahul Mehta highlighted the growing regulatory gaps in India’s legal framework when it comes to autonomous and self-learning artificial intelligence systems.
Commenting on the current legislative landscape, Rahul Mehta noted that while existing statutes such as the Information Technology Act, 2000 and the Digital Personal Data Protection Act, 2023 provide an essential foundation for technology governance, they were not designed with rapidly evolving AI systems in mind. He emphasized that these laws predate the rise of autonomous, generative, and self-learning models that are now increasingly embedded in business-critical and consumer-facing decision-making.
Rahul Mehta further highlighted that as AI tools become more deeply integrated across sectors, significant concerns continue to remain only partially addressed. These include questions of accountability, algorithmic bias, transparency, data governance, and liability, issues that assume heightened importance when decisions are driven by systems capable of learning and evolving without direct human intervention.
He stressed that the emergence of advanced AI models, including conversational and decision-support systems, calls for a more nuanced and AI-specific regulatory approach. According to him, targeted legislation or supplementary frameworks will be critical to ensure that innovation is balanced with legal certainty, ethical safeguards, and public trust.
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