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Q 51- Examine the possibility and prospective benefits of employing Artificial Intelligence as a tool for social empowerment in the country's healthcare, agriculture, education, pandemic preparedness, and smart mobility. (250 words)

Paper & Topic: GS III à Science and Technology- developments and their

       applications and effects in everyday life


  • Model Answer:


  • Introduction:


  • RAISE 2020 (Responsible AI for Social Empowerment 2020) was a virtual AI summit that took place from October 5th to October 9th 2020.
  • Around 79,000 people from academia, research and development, and government officials from 147 nations attended the conference.
  • The summit was organized by the Ministry of Electronics and Information Technology (MeitY) and NITI Aayog.
  • MeitY's goal is to promote India's e-development and empower Indian citizens through electronic methods. 'Leveraging AI for Pandemic Preparedness,' '
  • The Impetus that Innovation Places on Digitisation,' 'Inclusive AI,' and 'Partnerships for Successful Innovation' were among the summit's key agenda items.


  • Body:


  • Artificial intelligence (AI) can assist in the transformation of Indian healthcare:


  • With the rise in noncommunicable illnesses and the country's aging population, the overall burden of disease management has been rising year after year, and the government, healthcare experts, and healthcare institutions are seeking for new ways to manage it.
  • Deep learning algorithms have been found in studies to provide clinicians with greater insights in predicting prognosis and future occurrences in patients.
  • By capturing and analyzing numerous vitals of patients, advanced digital technologies such as AI and ML can aid in illness prevention and early detection.
  • Artificial intelligence enables access to the knowledge and data accumulated from hundreds of thousands of patient situations.
  • For instance, Microsoft and Apollo Hospitals have partnered to establish an AI-focused cardiology network.
  • AI algorithms are assisting doctors in analyzing a far broader range of data and predicting novel medicine combinations that are customized for a patient's individual need with more granularity.
  • Healthcare will eventually be supplied at a lesser cost as technology and artificial intelligence advance, since as efficiency improves, diagnosis will become more focused.




  • Agriculture with artificial intelligence:


  • Climate prediction: Because agriculture is dependent on the weather all over the world, the use of AI to predict the weather is the most obvious application case. There are numerous projects to anticipate weather across countries, both at the government level and by businesses like as IBM and Google.
  • Image Processing for Crop Monitoring: Whether we take photographs using a satellite, a drone, or a robot, image processing is utilized to assess the crop in some circumstances. This comprises agricultural vegetation index monitoring in real time using satellite photos, insect monitoring, yield size forecast, soil assessment, and a variety of other applications.
  • Irrigation is one of the most labor-intensive operations in farming, but artificial intelligence can eliminate it because it is aware of previous weather patterns, soil condition, and the type of crops to be grown. Automated irrigation systems are built around a real-time machine that can maintain optimum soil conditions at all times in order to boost average yields.
  • Soil Health Monitoring: Using Al to conduct or monitor identify any flaws and nutrient deficiencies in the soil can be done efficiently. With the picture
  • Harvesting robots: A variety of harvesting robots are being developed.
  • Farm labor shortages have led to the introduction of self-driving tractors by a number of enterprises throughout the world. In September 2019, Mahindra and Mahindra Ltd, India's largest tractor manufacturer, unveiled its first driverless tractor.


  • Smart Mobility and AI:


  • Intelligent Transportation Systems: Real-time dynamic choices on traffic flows, such as lane monitoring, exit access, toll pricing, allocating right of way to public transportation vehicles, enforcing traffic regulations through smart ticketing, and so on, can be made with the help of AI. Using accident data and driver behavior at specific areas on the road network, heat maps of accidents might be created.
  • Autonomous Trucking: AI can aid in road safety and provide drivers a break from long hours behind the wheel. AI will assist boost road infrastructure capacity by allowing for efficient road-space utilization.
  • With access to network-level traffic data, AI can help develop smart forecasts for public transportation travels by reducing total journey time, which includes access time, waiting time, and travel time.


  • Railways and AI:


  • between 2012 and 2017, more than 500 trains were engaged in accidents, with 53 percent of them being due to derailment, according to government statistics. The Indian government has planned to deploy artificial intelligence (AI) to conduct remote condition monitoring. Signals, track circuits, and axle counters are all monitored by the government using non-intrusive sensors.
  • AI will be required to mediate the intricate vehicle grid interaction (VGI) as well as charge optimization in community-based parking. Parking guidance systems assist drivers in locating available parking spaces while on the road and close to their destination.




  • Using AI to prepare for a pandemic:


  • In numerous nations, big data and artificial intelligence have aided COVID-19 preparedness and tracking, as well as the transmission of infection.
  • The Anitgen Map project gathers blood samples, performs immunosequencing, and maps T-cell responses to the COVID virus using AI algorithms and machine learning, and then makes the data open to the public for further research and analysis.
  • The use of artificial intelligence to handle the pandemic in Dharavi, Mumbai, was a major success. Several companies, including Wadhwani AI, EY, PwC, Google, Zoom, Uber, qure.ai, and others, have agreed to donate their time and expertise. To aid speedy screening and monitoring of the recovery program, AI-based screening was employed for chest X-ray.


  • Next Steps/Conclusion:


  • In India, AI research is still in its early stages, necessitating large-scale concentrated and collaborative interventions.
  • Adopting AI necessitates the training and retraining of employees.
  • Decentralised teaching procedures are being implemented in partnership with the private sector and educational institutions.
  • AI adoption across the value chain, including startups, the private sector, public utilities, and government institutions, will fully unlock the potential by generating a virtuous supply and demand cycle.
  • Because data is one of the key drivers of AI solutions, proper data handling, as well as assuring privacy and security, is critical.
  • Creating data-protection policies and implementing international standards
  • A strong intellectual property framework is necessary for India to ride the AI innovation wave.


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