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India's AI Governance Framework: Balancing Innovation with Regulatory Gaps

Tech

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Updated on 07 Nov 2025, 04:26 pm

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Reviewed By

Abhay Singh | Whalesbook News Team

Short Description:

India's new AI Governance Framework adopts a flexible, pragmatic approach by adapting existing laws instead of rushing into new legislation. While this allows for agility in the rapidly evolving AI field, it highlights unresolved issues concerning liability, data protection, and market competition. The government's focus is on ensuring responsible and inclusive growth by aligning innovation with accountability and fairness.
India's AI Governance Framework: Balancing Innovation with Regulatory Gaps

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Detailed Coverage:

India's approach to Artificial Intelligence (AI) governance is characterized by a sensible and pragmatic strategy, as highlighted in recent discussions. Instead of creating rigid, new laws, the government is focusing on adapting existing legal frameworks to accommodate the fast-paced advancements in AI. This flexible model contrasts with the more rule-driven approach of the European Union and the market-based system of the United States.

However, this adaptive strategy also brings forth unresolved challenges. Key among these are gaps concerning legal liability, robust data protection, and fair competition. Traditional legal principles like purpose limitation and data minimisation are often at odds with AI's reliance on vast, evolving datasets, creating significant uncertainty for AI developers. Furthermore, there is a growing concern about market concentration, where a few global tech giants could potentially stifle domestic innovation.

The Digital Personal Data Protection Act of 2023 is a step forward, but its enforcement remains a critical issue, evidenced by ongoing data breaches. In the AI era, where historical data fuels models, strict limits are necessary to prevent misuse of sensitive information. Experts suggest that AI systems should primarily use anonymised or generic data, with sensitive information ideally stored on secure local servers and accompanied by clear audit trails.

Impact: This evolving regulatory landscape will significantly influence the growth trajectory and operational strategies of AI companies in India. Investors should monitor how these policy intentions translate into effective implementation. The emphasis on data privacy and competition could foster opportunities for localized AI solutions and compliance services, while potentially presenting challenges for large multinational corporations and those with aggressive data collection practices. Investors may need to assess the compliance readiness and data handling strategies of companies operating in this space. Rating: 7/10


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