Generative AI is increasingly embedded in healthcare systems to address workforce shortages, improve efficiency, support clinical decision-making, and accelerate medical research. While it offers significant benefits in documentation, diagnostics, patient engagement, and drug discovery, its adoption raises concerns related to accuracy, bias, data privacy, ethics, and regulation. The future of Generative AI in healthcare therefore depends on responsible governance, strong government initiatives, and human oversight to ensure that technology augments, rather than replaces, clinical judgement and patient trust.
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 MoreMisuse of X’s Grok to create abusive deepfakes exposes gaps in India’s tech accountability. While users, platforms, and AI design share blame under existing laws, these remain reactive. The episode highlights the urgent need for a proactive duty-of-care framework and swift enactment of the Digital India Act.
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 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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