About the conference
Artificial Intelligence (AI) has ushered in a new era of innovation, transforming industries, governance, and daily life. From predictive healthcare and autonomous mobility to smart agriculture and precision manufacturing, AI is redefining what is possible. However, this rapid technological advancement comes at a substantial environmental cost.
The carbon footprint of training large AI models is alarming. For example, training a single large language model can emit as much CO₂ as five average cars in their entire lifetime. The massive computational demands lead to high energy consumption, predominantly powered by fossil-fuel-intensive data centres. Moreover, the lifecycle of AI hardware—from rare-earth mining to e-waste disposal raises additional sustainability concerns.
This 2nd national conference, “AI for a Sustainable Future: Bridging Technology and Environmental Responsibility,” seeks to explore the dual role of AI as both a solution and a contributor to environmental challenges. It aims to foster dialogue between technologists, environmentalists, researchers, and policymakers on how to minimise AI’s ecological impact while leveraging its potential for climate action, resource optimisation, and sustainable development.
The conference will serve as a collaborative platform to realign AI innovations with the global sustainability agenda, ensuring that technology does not progress at the expense of the planet. Through keynote addresses, research presentations, and expert panels, we aim to chart a roadmap for a future where AI and environmental responsibility go hand in hand.
OBJECTIVES
To examine the environmental impacts of AI systems across their lifecycle, from model training to hardware disposal.
To promote energy-efficient and sustainable AI development practices.
To explore the role of AI in advancing climate action and sustainable infrastructure.
To foster cross-disciplinary collaboration for responsible and eco-conscious AI deployment.