Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Energy Aware Artificial Intelligence Models for Scalable Digital Interactions Efficient Resource Management and Carbon Neutral Sustainable Technology Innovations

Authors
N. Sirisha1, *, Dhodium Sujan Kumar2, P. Ilanchezhian3, Venkata Bhardwaj Komaragiri4, G. Kiruthika Sri5, B. Thamizhkani6
1Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
2Associate Professor, Department of CSE, CVR College of Engineering, Mangalpalle, Telangana, India
3Associate Professor, Department of IT, Sona College of Technology, Salem, 636005, Tamil Nadu, India
4Lead Data Engineer, Ciena, Hanover, MD, USA
5UG Student, Department of Electrical and Electronics Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
6Assistant Professor, Department of EEE, New Prince Shri Bhavani College of Engineering and Technology, Chennai, 600073, Tamil Nadu, India
*Corresponding author. Email: nallashirisha@mlrinstitutions.ac.in
Corresponding Author
N. Sirisha
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_50How to use a DOI?
Keywords
Energy-aware AI; sustainable artificial intelligence; carbon-neutral AI; green computing; scalable digital interactions; efficient resource management; AI lifecycle assessment
Abstract

There is growing concern about energy consumption, scalability, and environmental sustainability with the rising demand for artificial intelligence (AI) in digital communications, resource management, and technological innovations. Prior works primarily offer theoretical models, a lack of standardized benchmarking to measure sustainability and do not consider the entire life-cycle environmental impact of the system. Few studies provide novel frameworks for energy-aware AI; thus, this study illustrates a new paradigm: (1) lightweight architectures for AI that meet carbon accounting methodologies and regulatory policies; and (2) scalable, resource-efficient, and carbon-neutral AI solutions. This study aims to construct a holistic roadmap for sustainable AI development, by harnessing edge AI, renewable-powered computation and novel green computing technologies. It also highlights the need for ESG metrics for AI and shares examples of real-world applications for low footprint scalable digital interactions and resource-efficient computing. Furthermore, it seeks to join the wider world effort to reduce the environmental impact of AI while preserving efficiency and innovation around AI-powered technology.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_50How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - N. Sirisha
AU  - Dhodium Sujan Kumar
AU  - P. Ilanchezhian
AU  - Venkata Bhardwaj Komaragiri
AU  - G. Kiruthika Sri
AU  - B. Thamizhkani
PY  - 2025
DA  - 2025/05/23
TI  - Energy Aware Artificial Intelligence Models for Scalable Digital Interactions Efficient Resource Management and Carbon Neutral Sustainable Technology Innovations
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 576
EP  - 586
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_50
DO  - 10.2991/978-94-6463-718-2_50
ID  - Sirisha2025
ER  -