Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

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Explainable AI for Sustainability: Bridging Trust, Ethics, and Accountability

Authors
Praveen Kumar Myakala1, *, Anil Kumar Jonnalagadda2
1Independent Researcher, Melissa, Austin, USA
2Independent Researcher, Frisco, USA
*Corresponding author. Email: praveen.k.myakala@gmail.com
Corresponding Author
Praveen Kumar Myakala
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_44How to use a DOI?
Keywords
Explainable AI; Transparent AI; Sustainability
Abstract

Artificial intelligence (AI) has shown immense potential for addressing sustainability challenges, from optimizing energy systems to advancing precision agriculture. However, the opacity of many AI systems undermines trust, accountability, and ethical alignment, limiting their adoption in high-stake domains. This study highlights the importance of integrating Explainable AI (XAI) into sustainability applications to improve transparency and stakeholder trust. We propose a three-pillar framework centered on technical innovation, stakeholder participation, and policy alignment, supported by case studies in renewable energy optimization and precision agriculture. These examples demonstrate how XAI fosters ethical decision making, improves resource efficiency, and promotes environmental justice. Finally, we discuss future research directions for scaling XAI solutions in various sustainability contexts while ensuring fairness and accountability.

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 Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_44How 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  - Praveen Kumar Myakala
AU  - Anil Kumar Jonnalagadda
PY  - 2025
DA  - 2025/07/17
TI  - Explainable AI for Sustainability: Bridging Trust, Ethics, and Accountability
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 563
EP  - 576
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_44
DO  - 10.2991/978-94-6463-787-8_44
ID  - Myakala2025
ER  -