Generative AI threatens the Right to Privacy by collecting and processing personal data without clear consent. It increases risks of data leaks, inference-based profiling, and deepfakes. India’s DPDP Act, 2023 relies on consent, but AI’s complexity and broad public-data exemptions weaken its protective impact.
Click to View MoreAI mental health tools improve access and affordability but create serious risks. Data privacy, bias and the absence of human empathy can harm vulnerable users. India must enforce strong rules like the DPDP Act and ensure a human-in-the-loop model so AI supports, not replaces, real care.
Click to View MoreArtificial Intelligence (AI) is transforming the banking sector by enabling faster decision-making, improved customer experiences, and operational efficiency. However, it also introduces risks such as bias, model errors, data privacy issues, and regulatory challenges. AI auditing ensures these systems are ethical, transparent, and accountable throughout their lifecycle. Frameworks like RBI’s FREE-AI, along with global standards such as NIST AI RMF and CSA AICM, guide banks in implementing responsible AI. The way forward involves pragmatic guardrails, continuous monitoring, human oversight, and multi-stakeholder collaboration to balance innovation with risk, ensuring trustworthy and inclusive AI-driven banking.
Click to View MoreIndia has joined the Health AI Global Regulatory Network (GRN), an international platform for health regulators, to ensure the safe and effective use of AI in healthcare. The collaboration, led by ICMR-NIRDHDS and IndiaAI, will facilitate sharing of best practices and safety protocols, accelerating the safe integration of AI tools.
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