Yojana Magazine February 2024, Part-1, Complete Analysis for UPSC/State PSC Exams | Vajirao & Reddy

Описание к видео Yojana Magazine February 2024, Part-1, Complete Analysis for UPSC/State PSC Exams | Vajirao & Reddy

Here in this video, Vajirao and Reddy Institute teaching experts provide a comprehensive analysis of the Yojana Magazine for February 2024. Gain valuable insights into the articles, topics, and government schemes covered in the magazine, relevant for UPSC and State PSC exams. Stay updated with current affairs and policy discussions to enhance your exam preparation with Vajirao and Reddy Institute expert analysis.


In Yojana Magazine February 2024, we will discuss briefly the topics shown below:-


1. INDIA’S VISION FOR HARNESSING AI FOR GLOBAL GOOD

At the forefront of Digital India, is the pivotal role played by AI. GoI is actively shaping its AI Vision through a mission named India AI.

Vision of India AI:
• Support for the AI Startup Ecosystem.
• Development of practical applications addressing real-world challenges in healthcare, agriculture, language translation, governance, and beyond.
• Dedicated focus on AI research: Developing infra & attracting youth to adopt such domains. (skill penetration in AI high in India).
• Analyse the largest dataset (of the Indian population) to give beneficial outcomes

2. AI IN INDIAN GOVERNANCE & PUBLIC SERVICES

The GoI’s flagship initiative, the NPAI, aims to nurture the building blocks of the domestic AI Ecosystem through four key interventions:
1. National Data Management Office (NDMO): NDMO aims to enhance data quality, utilization & accessibility.
2. National Center on AI: NCAI is envisaged as a sector-agnostic entity that identifies AI solutions for public sector problem statements and facilitates their nationwide
deployment aiming to drive large-scale socio-economic transformation.
3. Skilling for AI: This pillar aims to revamp technical education infra like ITIs, Polytechnics, etc by building labs.
4. Responsible AI: Emphasise the need to address potential biases & discrimination in AI adoption through the development of indigenous tools, guidelines, frameworks, etc.


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