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 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 MoreNITI Aayog’s AI roadmap promotes an “AI for All” vision to drive inclusive growth in healthcare, agriculture, and education. It advances Responsible AI principles, supports innovation through the AIRAWAT platform, strengthens skills and data ecosystems, and positions India as a global leader in ethical, development-driven AI aligned with “Make in India.”
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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