India ranks 3rd in the world in terms of high quality research publications in artificial intelligence (AI) but is at a significant distance from world leader China. We have been ranked 1st for ‘AI Adoption by Organisations’ and 7th for ‘Number of newly funded AI companies’ (2013-21) by the Stanford AI Index 2022. Further, India has been ranked 1st in all 5 Pillars of Peak AI’s Decision Intelligence Maturity Scale, which assesses a business’s commercial AI readiness.
Being worried about China’s intent and with potential threat to be dominated by it, US can’t sit idle when the opponent can impede in its cybersecurity and damage its military. To avoid such a situation US is tying up with India in two developments. One is the Executive Order on AI issued by President Joe Biden (for US federal govt.) and the other is the release of the Pentagon’s updated strategy (for US military) for AI adoption by the US armed forces.  Â
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Technology Innovation Hubs (TIH) have been established on AI and Machine Learning (ML) at IIT Kharagpur, that aims to provide the state-of-the-art training and capacity building to create next-generation scientists, technicians, engineers and technocrats in the field of AI.
It’s a Cloud computing platform, foussed to make India the pioneer amongst all emerging economies with respect to AI and transform education, health, agriculture, urbanization and mobility sectors.
GoI has published the National Strategy for Artificial Intelligence with the purpose of developing an ecosystem for research and adoption of AI.
Developing a clear and comprehensive regulatory framework that defines the purpose, scope, and principles of generative AI regulation. The framework should balance the protection of individuals from potential harms with the promotion of innovation and economic growth.
Building an accurate and fair liability framework that assigns responsibility and accountability for the actions and outcomes of generative AI systems. The framework should consider the roles and obligations of different stakeholders, such as developers, providers, users, and regulators.
Investing in research and development of generative AI technologies that can address India’s specific needs and challenges. India should leverage its strengths in data science, engineering, and entrepreneurship to create innovative solutions for various sectors and domains.
Incorporating essential regulatory facets such as transparency, accountability, privacy, security, ethics, and human oversight. These facets should ensure that generative AI systems are trustworthy, reliable, and respectful of human rights and values.
Conclusion
Generative AI is an impactful and promising technology that can bring numerous benefits to India & its people. But, it also possesses many challenges and risks that must be addressed by effective & responsible regulation. India should implement a proactive and balanced approach that ensures its safety, security and ethical use through AI.