Artificial Intelligence
Published on 23 Feb 2025
Artificial Intelligence (AI) simulates human intelligence in computers, enabling tasks like learning, reasoning, and language understanding. With the potential to significantly boost India's economy, AI is at the forefront of technological advancements and policy initiatives.
Potential of AI
Economic Growth: AI is expected to increase India's annual growth by 13 percentage points by 2035 and add $1 trillion to the economy (NITI Aayog).
Global Positioning: India aims to become a leader in AI, with initiatives like the IndiaAI Mission focusing on public-private partnerships to develop an AI ecosystem.
Key Initiatives by Government of India
IndiaAI Mission: Over Rs 10,300 crore has been approved to build an AI innovation ecosystem through public-private partnerships.
National Strategy on AI (NSAI): NITI Aayog's blueprint for AI development in India, focusing on responsible and inclusive growth.
Centre of Excellence for AI: Established by the National Informatics Centre (NIC) to advance AI research and applications.
Global Partnerships: The New Delhi Declaration on AI aims to mitigate AI risks through international cooperation.
Responsible AI for Youth 2022: A youth-focused program to prepare students for AI-driven careers.
Applications of AI Across Sectors
Agriculture:
Intelligent Crop Planning: AI optimizes crop scheduling and resource allocation.
Example: AI-driven solutions like SENSAGRI and BharatAgri App help farmers with precise crop management.
Smart Farming: Enhances farm efficiency through precision agriculture.
Example: AI-powered tools improve yield predictions.
Healthcare:
Medical Imaging: AI analyses medical images, aiding in diagnosis and treatment planning.
Example: SARAH, an AI tool, assists in cancer detection and treatment s.
Robotic Surgery: AI reduces surgery-related complications.
Example: Da Vinci surgical system used in minimally invasive procedures.
Defence:
Intrusion Detection: AI detects threats and enhances defence operations.
Example: AI-powered surveillance systems in border security.
Autonomous Weapons: AI supports advanced weaponry and reduces human error in warfare.
Challenges of AI
Lack of Skilled Workforce: India faces a shortage of AI professionals with expertise in machine learning and data science.
Example: Only 22% of AI professionals in India have over 5 years of experience (NASSCOM report).
Bias in AI Algorithms: AI systems may reinforce societal biases if trained on biased datasets.
Example: Facial recognition systems showing racial bias in identification.
Energy Consumption: AI models require significant computational power, leading to high energy consumption.
Example: Training large AI models like GPT-4 consumes energy equivalent to multiple cars on the road for a year.
Lack of Collaboration: There is insufficient collaboration between government, academia, and industry.
Data Localization Issues: Data localization laws may restrict access to global datasets, affecting AI model training.
Example: India's Personal Data Protection Bill mandates data storage within the country, limiting global collaboration.
Way Forward
Enhanced AI Education: Introduce AI-focused courses and training programs in educational institutions.
Example: IIT Madras offers a dedicated B.Tech course in AI and Data Science.
Public Awareness Campaigns: Increase awareness about the ethical use of AI among the general public.
Example: Government-led campaigns to educate citizens about AI's role in daily life and its potential risks.
Regulatory Sandboxes: Establish AI regulatory sandboxes to test and refine AI technologies in a controlled environment.
Example: The Reserve Bank of India's regulatory sandbox for fintech innovations including AI-driven solutions.
AI for Social Good: Promote the use of AI in solving societal issues like healthcare, education, and poverty alleviation.
Example: Wadhwani AI working on AI solutions for tuberculosis diagnosis in rural India.
Global AI Alliances: Strengthen international collaborations for developing global AI standards and best practices.
Example: India’s partnership in the Global Partnership on Artificial Intelligence (GPAI) for responsible AI development.
AI's integration into various sectors offers transformative potential for India. However, addressing challenges related to transparency, regulation, and ethical considerations is crucial to harness AI's full benefits responsibly.