Syllabus
- Mains – GS 3 (Science and Technology)
Context: The Ministry of Electronics and IT has recently established a task force to draft a roadmap for the artificial intelligence ecosystem. The task force will focus on boosting research and facilitating tools for startups and IT companies.
About Artificial Intelligence:

Source: Granta Innovation
- It is the science and engineering of making intelligent machines, especially intelligent computer programs.
- It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
- AI would not replace people but create new opportunities in various fields.
- It works on data, and if we could train our machines, it could do wonders for us in milliseconds by automating processes.
- AI is creating new opportunities which could not be achieved by traditional technology.
Significance of Artificial Intelligence (AI) for India:
- Economic Growth: AI is expected to contribute significantly to India’s economic growth by creating new job opportunities, increasing productivity, and fostering innovation.
- Governance: AI can help in improving governance by increasing transparency, reducing corruption, and improving service delivery by better fraud detection, resource allocation, and decision-making.
- Healthcare: AI has the potential to revolutionize the healthcare sector by improving patient outcomes, increasing efficiency, and reducing costs through better disease diagnosis, drug development, and personalized treatment.
- Agriculture: AI can improve agricultural practices by optimizing crop yields, reducing waste, and increasing profitability through accurate weather predictions, soil analysis, and crop monitoring to help farmers make informed decisions.
- Education: AI can enhance the quality of education by providing personalized learning experiences, automating administrative tasks, and improving student outcomes.
- Smart homes, cities and infrastructure: Smart thermostats learn from our behaviour to save energy, while developers of smart cities hope to regulate traffic to improve connectivity and reduce traffic jams.
- Automobiles: While self-driving vehicles are not yet standard, cars already use AI-powered safety functions. The EU has for example helped to fund VI-DAS, automated sensors that detect possible dangerous situations and accidents. Navigation is largely AI-powered.
- Cybersecurity: AI systems can help recognise and fight cyberattacks and other cyber threats based on the continuous input of data, recognising patterns and backtracking the attacks.
- Fighting disinformation: Certain AI applications can detect fake news and disinformation by mining social media information, looking for words that are sensational or alarming and identifying which online sources are deemed authoritative.
- Speech Recognition: It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to process human speech into a written format.
- Many mobile devices incorporate speech recognition into their systems to conduct voice search—e. Siri—or provide more accessibility around texting.
Challenges of Artificial Intelligence (AI)
- Need for Massive Data Centres: AI requires massive computational capacity, which means more power-hungry data centres and a big carbon footprint.
- Skilled workforce: There is a shortage of skilled professionals in the AI industry in India and the demand for skilled professionals still outstrips the supply.
- Data quality and availability: The lack of standardization and structure in data sets, particularly in sectors like healthcare and education, can limit the effectiveness of AI solutions.
- Infrastructure: The availability of computing infrastructure is essential for the development and deployment of AI solutions and India needs to invest in improving its computing infrastructure to support the growing demand for AI solutions.
- Funding: Despite the potential benefits of AI, funding for AI startups and research in India is relatively low compared to other countries for which more funding is needed to support the development and growth of the AI industry in India.
- Ethical and social implications: AI can have significant ethical and social implications, such as bias, privacy concerns, and job displacement.
Way Forward
The NITI Aayog’s Report recognises that our digital future cannot be optimised for good without multi-stakeholder governance structures that ensure the dividends are fair, inclusive, and just. NITI Aayog has decided to focus on five sectors that are envisioned to benefit the most from AI in solving societal needs:
- Healthcare
- Agriculture
- Education
- Smart cities and infrastructure
- Smart mobility and transportation.
Therefore, AI can play a crucial role in driving India’s growth and development in various sectors, and the draft proposal by the Indian government is a step in the right direction. The roadmap for the artificial intelligence ecosystem will help promote the development and adoption of AI in India and is expected to have a significant impact on the growth of the AI industry in the country.
Source: Business Standard