Use of AI for Climate Change : Modelling the Barriers in Energy Sector by ISM Approach

This study is of prominent importance in the present scenario where each country is pacing on its own AI speed and the debate is high on the Artificial Intelligence regulations. EU is looking for an AI Act as the UK stand is different. The UK’s AI Safety Summit has heightened this debate and set the stage rolling. Many think of establishing panels like the International Panel on Climate Change for international consensus on AI model assistance. In India, the 2021 Niti Ayog’s Responsible AI/AI for All report highlight seven principles for AI systems emphasizing accountability, transparency, security, equality, safety, inclusivity, and protection of human values. In Feb 2023 GoI acknowledged establishing three new centers of excellence in AI. Same year in April the Ministry of Electronics and Information Technology announced that GoI is not considering regulating the growth of AI in the country. The pre-training datasets are commonly used in climate change mitigation. The use of AI is popular and promising in climate change mitigation though it has its challenges. The major barriers to the use of climate change are data barriers-availability, accessibility, quality, standardization, and cost; people-related barriers- AI user awareness, climate AI application experts, AI developers and trainers; Institutional barriers- AI dedicated Institutions, AI training institutions; cost-related barriers- Infrastructure and hardware access with maintenance and upkeep, Institutional support and Funds Access the priority barriers are AI standards, regulations and policy. The barriers can be minimised by adaption interventions of social tipping through a human-in-the-loop approach.