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The IT ministry's recent report on AI regulation in India has garnered a mixed response. While the recommendations are generally seen as non-controversial, the underlying principles are criticized for being overly reliant on frameworks from the Global North. This approach may hinder the growth of India's AI industry by not adequately considering local contexts and challenges.
The report advocates for a balance of agile governance and light-touch supervision, yet it emphasizes the need for a more pragmatic approach to risk management and harm tracking. Special attention to the unique Indian context is essential for effective implementation. Adapting these regulations to fit local needs could unlock the full potential of AI in India.
• The report emphasizes the need for context-specific AI regulations.
• Criticism arises from reliance on Global North regulatory principles.
AI regulation refers to the frameworks and guidelines governing the development and use of artificial intelligence technologies.
Agile governance involves flexible and adaptive regulatory practices that can respond quickly to changes in technology and market conditions.
Risk management in AI involves identifying, assessing, and mitigating potential risks associated with AI technologies and their applications.
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