This book chapter seeks to draw out a meaningful narrative about the landscape of AI and blockchain in India particularly in its use to attain effective local governance and sustainable development.
Arnab Bose, Assistant Professor, Jindal Global Law School and Fellow, Jindal Institute of Behavioral Sciences (JIBS), O.P. Jindal Global University, Sonipat, Haryana, India.
Seema Sharma, University of Delhi, India.
A. Amarender Reddy, ICAR-Central Research Institute for Dryland Agriculture, Hyderabad, India.
AI (artificial intelligence) and blockchain are promising technologies for all countries, including India. While these two technologies have a landscape of associated risks, there are distinct aspects like decentralisation and distribution, which make these technologies particularly suitable for India.
It seems that the promise of technology could not come any sooner, especially as India faced the COVID-19 crisis in 2021. With this in mind, the chapter will do three things. First, the chapter will draw out a framework of effective risk management of AI and blockchain and put forward methods of effective decentralised decision-making.
Second, the chapter will comment on the nature and sources of finance in this technology transition in India with empirical evidence. Third, the chapter will trace policy feedback and suggest a way forward with a focus on the COVID-19 crisis.
Thus, the chapter will seek to draw out a meaningful narrative about the landscape of AI and blockchain in India particularly in its use to attain effective local governance and sustainable development.
Published in: De Gruyter Handbook of Sustainable Development and Finance
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