"AI integration in governance is no longer a choice but a necessity." In light of this statement, discuss how AI can enhance education and healthcare governance.

According to the NITI Aayog Report on AI use in governance, AI is to hold inclusive growth for all Bharat by 2047. AI integration: a necessity. Efficient governance outcome, eg. AI did pattern predictions in hunger, poverty, etc. Grievance redressal mechanisms, eg. AI based chatbots. Reach the last mile, eg. BHASHINI AI → language divide well advice. AI: entrance education governance. Large language models for smarter learning outcomes, eg. AI band algos in villages (Vidhyarthi village – Bahlgach). Multi-disciplinary approach to learning. AI in health governance: Reduce false positive, [illegible] display of patients → improve accuracy of diagnosis, eg. Cancer research → analysis of tumorous eg. Tele-medicine & consultations. Vaccine deployment for discusses like malaria → faster. Issues present: Low capital penetration – only 32% villages have internet access. AI hallucinations → inaccurate data & asymmetry. Data privacy concerns → solution of enshroud data. STARLINK collaboration, Indigenous research → has dismissed well for models. Amazon → reduce information asymmetry. This will help in achieving SDG 3 and SDG 4.

— SURAMYA SHARMA · AIR 359