TY - JOUR
T1 - Artificial intelligence and information management in the energy transition of India
T2 - lessons from the global IT heart
AU - Chawla, Yash
AU - Shimpo, Fumio
AU - Sokołowski, Maciej M.
N1 - Funding Information:
This work was supported by JST, Moonshot R&D Grant Number JPMJMS2011.
Publisher Copyright:
© 2021, Yash Chawla, Fumio Shimpo and Maciej M. Sokołowski.
PY - 2022/2/11
Y1 - 2022/2/11
N2 - Purpose: India is a fast-growing economy, that has a majority share in the global information technology industry (IT). Rapid urbanisation and modernisation in India have strained its energy sector, which is being reformed to cope. Despite being the global IT heart and having above average research output in the field of artificial intelligence (AI), India has not yet managed to leverage its benefits to the full. This study aims to address the role of AI and information management (IM) in India’s energy transition to highlight the challenges and barriers to its development and use in the energy sector. Design/methodology/approach: The study, through analysis of proposed strategies, current policies, available literature and reports, discusses the role of AI and IM in the energy transition in India, highlighting the current situation and challenges. Findings: The results show dispersed research and development incentives for IT in the Indian energy sector; however, the needed holistic top-down approach is lacking, calling for due attention in this matter. Adaptive and swift actions from policymakers towards AI and IM are warranted in India. Practical implications: The ongoing transition of the Indian energy sector with the integration of smart technologies would result in increased access to big data. Extracting the maximum benefits from this would require a comprehensive AI and IM policy. Social implications: The revolution in AI and robotics must be carried out in line with sustainable development goals, to support climate action and to consider privacy issues – both areas in India must be strengthened. Originality/value: The paper offers an original discussion on certain applicable solutions regarding the energy transition of AI coming from the Global South; they are based on lessons learned from the Indian case studies presented in this study.
AB - Purpose: India is a fast-growing economy, that has a majority share in the global information technology industry (IT). Rapid urbanisation and modernisation in India have strained its energy sector, which is being reformed to cope. Despite being the global IT heart and having above average research output in the field of artificial intelligence (AI), India has not yet managed to leverage its benefits to the full. This study aims to address the role of AI and information management (IM) in India’s energy transition to highlight the challenges and barriers to its development and use in the energy sector. Design/methodology/approach: The study, through analysis of proposed strategies, current policies, available literature and reports, discusses the role of AI and IM in the energy transition in India, highlighting the current situation and challenges. Findings: The results show dispersed research and development incentives for IT in the Indian energy sector; however, the needed holistic top-down approach is lacking, calling for due attention in this matter. Adaptive and swift actions from policymakers towards AI and IM are warranted in India. Practical implications: The ongoing transition of the Indian energy sector with the integration of smart technologies would result in increased access to big data. Extracting the maximum benefits from this would require a comprehensive AI and IM policy. Social implications: The revolution in AI and robotics must be carried out in line with sustainable development goals, to support climate action and to consider privacy issues – both areas in India must be strengthened. Originality/value: The paper offers an original discussion on certain applicable solutions regarding the energy transition of AI coming from the Global South; they are based on lessons learned from the Indian case studies presented in this study.
KW - Artificial intelligence
KW - Global south
KW - India
KW - Information management
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U2 - 10.1108/DPRG-05-2021-0062
DO - 10.1108/DPRG-05-2021-0062
M3 - Review article
AN - SCOPUS:85123354038
SN - 1463-6697
VL - 24
SP - 17
EP - 29
JO - Digital Policy, Regulation and Governance
JF - Digital Policy, Regulation and Governance
IS - 1
ER -