The Right to be Forgotten (RTBF) allows individuals to de-index outdated personal data from digital platforms. Emerging from Article 21 and the Puttaswamy judgment, it balances informational privacy against the public’s right to know, demanding careful judicial and legislative oversight.
Click to View MoreUnchecked artificial intelligence progress poses catastrophic global risks, exacerbating inequality and cyber threats. This necessitates robust, human-centric global AI governance, institutional regulatory frameworks, international treaties, and stringent hardware verification mechanisms to balance rapid technological innovation with global safety and ethics.
Click to View MoreArtificial Wisdom refers to the dangerous misconception that AI systems possess moral judgment and human understanding. While AI offers immense computational optimization, its lack of human consciousness creates algorithmic bias and severe accountability vacuums, necessitating robust, human-centric legal frameworks like the India AI Governance Guidelines.
Click to View MoreThis comprehensive topic explores the transition toward human-centric AI governance in India. It highlights the ethical risks of algorithmic bias, the necessity for enforceable regulatory frameworks like the EU AI Act, and India's sovereign innovations driving inclusive, constitutional, and equitable digital growth.
Click to View MoreThe ₹10,372 crore IndiaAI Mission aims to democratize AI compute infrastructure and foster indigenous innovation. Concurrently, rising deepfake threats necessitate robust AI governance and media literacy, aligning India’s “Enable, then regulate” approach with global frameworks like the EU AI Act.
Click to View MoreIndia’s “Third Way” for AI governance promotes adaptive regulation and AI as Digital Public Infrastructure. Backed by the IndiaAI Mission and AIRAWAT compute push, it supports inclusion through Bhashini and global partnerships like GPAI. While promising for the Global South, hardware gaps, skills shortages, and enforcement remain challenges.
Click to View MoreThe India-AI Impact Summit 2026 reframed global AI governance toward development-focused use. India promoted the MANAV framework and New Delhi commitments, joined the Pax Silica semiconductor coalition, and advanced AI in health, agriculture, and Bhashini. Challenges include data sovereignty, de-skilling, and deepfake risks.
Click to View MoreIndia is advancing the democratisation of Artificial Intelligence by expanding affordable access to compute power, shared datasets, digital infrastructure and AI skills through initiatives like the IndiaAI Mission and AIKosh. With widespread 5G connectivity, growing data centre capacity and strong policy support, the approach aims to enable inclusive innovation, strengthen public service delivery, reduce regional disparities and position India as a global leader in equitable and development-focused AI.
Click to View MoreAI is revolutionizing healthcare by moving from passive tracking to proactive protection, using miniaturized wearables and smart breath analysis to continuously monitor over 300 biomarkers. This enables early disease detection and longevity optimization. However, this shift toward "industrialization of the self" requires strong health data security to balance innovation with individual privacy rights.
Click to View MoreThe Grok AI controversy has sharpened India’s AI regulation debate. It exposes gaps in the IT Act, 2000, over intermediary liability and deepfakes. India is shifting from light-touch oversight to a risk-based, accountable framework under the proposed Digital India Act, balancing innovation with ethics and democratic safeguards.
Click to View MoreGenerative 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.
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