India’s response must be nuanced. The goal should not be to copy either model, but to create a regulation framework that protects citizens without paralysing innovation. Here’s how India can do that:
First, a risk-based approach creates practical sense. Like the EU, India can identify high-risk utilize cases and regulate them tightly. AI systems utilized in policing, financial credit scoring, or public welfare schemes should undergo indepconcludeent audits and require human oversight. But simpler applications, like AI for chatbots or translation, should enjoy regulatory breathing space.
Second, India should reward responsible innovation. Instead of creating a minefield of approvals, it can introduce regulatory sandboxes where startups and developers can test their AI systems in a controlled environment with light-touch oversight. AI models built around fairness, explainability and data privacy should be incentivised through tax breaks, public procurement preferences, or rapid-track certification.
Third, India doesn’t necessary a giant standalone AI law just yet. It can embed AI accountability mechanisms into existing laws like the forthcoming Digital India Act or amconcludements to the Information Technology Act. These can introduce basic standards around algorithmic transparency, data utilize disclosures and redressal mechanisms for automated decisions.
Leave a Reply