AI Innovations for a Greener Future: Decarbonisation and Environmental Sustainability

• Chinedu Pascal Ezenkwu: Robert Gordon University, UK.
  Email: p.ezenkwu@rgu.ac.uk

• Ebuka Ibeke: Robert Gordon University, UK.
  Email:e.ibeke@rgu.ac.uk

• Chinedu Pascal Ezenkwu, Robert Gordon Unviersity, UK
• Ebuka Ibeke, Robert Gordon University, UK
• Azwa Abdul Aziz, Universiti Sultan Zainal Abidin (UniSZA), Malaysia
• Aniekan Essien, University of Bristol, UK
• Makuochi Nkwo, University of Greenwich, London, UK
• Michael Olatunde, The National Decommissioning Centre, University of Aberdeen, UK
• Aliyu Abubakar, Teesside University, UK

Artificial Intelligence (AI) can play a dual role in mitigating climate change.  Firstly, Green AI explores how AI can be developed and deployed in a manner that reduces its carbon footprint. Although sophisticated AI algorithms such as Generative Pre-trained Transformers and Deep Convolutional Neural Networks have yielded groundbreaking results, they are within the  Red AI category, generating enormous amounts of CO2 in our environment during training and applications. For example, researchers have demonstrated that the CO2 emissions from training and applying a transformer are even more substantial than the lifetime emissions of an automobile. Green AI pursues AI development processes that minimise environmental impact. Secondly, AI can be leveraged in optimising our environmental sustainability efforts through environment monitoring, optimisation of the energy mix, impact assessment of decarbonisation policies and development of predictive models for climate change. The special session invites original research or survey papers that investigate the potential of AI to operate sustainably or contribute to solving some of the most pressing environmental challenges.

Topics to be discussed in this special session include (but are not limited to) the following:

• Emerging Technologies in Green AI
• AI Ethics and Policy for Sustainability
• Energy-Efficient AI Algorithms
• AI in Renewable Energy Systems
• AI-driven Climate Modelling
• Data-centric AI
• Smart Grids and Energy Management
• Biodiversity and Ecosystem Monitoring
• AI in Waste Reduction and Recycling

Researchers and practitioners are invited to submit papers for this special theme session on AI Innovations for a Greener Future: Decarbonisation and Environmental Sustainability on or before September 10^th, 2024 (Extended Deadline).

All submissions must be original and may not be under review by another publication.

All papers should be submitted

electronically through the easychair submission system as mentioned below:

The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 20%.

INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://icactce-conf.com/call-for-papers-2/.

All submitted papers will be reviewed on a double-blind, peer review basis.

All the accepted papers (after double blinded peer review) will be published within the ICACTCE’24 Proceedings (SCOPUS Indexed).

NOTE: While submitting paper in this special session, please specify AI Innovations for a Greener Future: Decarbonisation and Environmental Sustainability at the top (above paper title) of the first page of your paper.