DMPQ-Discuss how Artificial Intelligence can bolster India’s efforts towards Digital governance. Also mention the challenges associated with it.

. In recent years there has been the proliferation of digital adoption across India, facilitated by the government’s focus on the JAM Trinity (Jan DhanAadhaar-Mobile) to create a digital identity for each citizen.

From an internet penetration of just 4% in 2007, India currently covers nearly 55% of the population, and is slated to reach one billion users by 2025. While successfully narrowing down the digital divide, India now has an exceptional opportunity to harnessthe data being created to benefit citizens through adoption of frontier technologies.

As artificial intelligence (AI) becomes ubiquitous, India hasthe potential to leverage these massive datasets to build frameworks to empower people, create equity and race towards its goal of USD 1 trillion of economic value using digital technologies by 2025.

Potential of AI in India

National Strategy For AI: A recent PwC report indicated that AI can provide a global economic value addition of up to USD 15.7 trillion by 2030.

Deregulation of Geospatial Sector: Recently, the government has deregulated the geospatial sector allowing private players to bring state-of-the- art solutions to the sector, and spur innovation in AIenabled hotspot mapping and analytics.

Reducing Energy Losses: Energy is another key sector which can benefitfrom the wide scale adoption of AI. By using AI in the energy sector, renewable energy generators and Discoms can cut losses and increase efficiencies by better predicting grid load management, and ultimately making the adoption of renewables cost-effective.

Increased Governance: With the use of AI,the Power Ministry’s Renewable Energy Management Centres (REMCs) will be able to provide enhanced renewable energy forecasting, scheduling, and monitoring capabilities by processing large datasets of past weather, generation output history, and electricity requirement in a region.

Challenges With Wide Use of AI

Comprising Privacy: AI systems learn by analyzing huge volumes of data and they keep adapting through continuous modelling of interaction data and user feedback.

Disproportionate Power and Control: Technology giants are investing heavily in regard to artificial intelligence, both at the scientific/engineering and also at the commercial and product development level.

Technological Unemployment: AI companies are building intelligent machines that perform tasks typically carried out by low-income workers.


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