AI regulation in India must take a targeted approach to keep risk levels low

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AI regulation in India must take a targeted approach to keep risk levels low

AI regulation in India requires a focused approach to minimize risks while promoting innovation. Emphasizing high-risk AI applications can ensure consumer safety without hindering technological advancement. Aligning regulations with global standards is essential, but local issues like discrimination and data biases must also be addressed.

The transformative potential of AI across various sectors necessitates a robust regulatory framework. This framework should prioritize consumer protection while fostering an environment conducive to innovation. By effectively managing high-risk AI systems, India can aspire to become a global leader in AI technology.

• Regulating high-risk AI applications can enhance safety and innovation.

• Addressing local challenges is crucial for effective AI regulation.

Key AI Terms Mentioned in this Article

AI Regulation

AI regulation involves creating rules to govern the use of artificial intelligence technologies.

High-Risk AI Applications

High-risk AI applications are those that pose significant ethical or safety concerns, requiring stricter oversight.

Data Bias

Data bias refers to systematic errors in data that can lead to unfair outcomes in AI systems.

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