Login Register

Environment and Social Psychology

  • Home
  • About the Journal
    • Focus and Scope
    • Peer Review Process
    • Open Access Policy
    • Publishing Ethics
    • Erratum & Withdrawal Policies
    • Copyright & Licence
    • Indexing & Archiving
    • Article Processing Charges (APC) Payment
    • Publisher
    • Contact
  • Article
    • Current
    • Archives
  • Submissions
  • Editorial Team
  • Announcements
  • Special Issues
Apply for Editorial Board Submit an Article

editor-in-chief

Editor-in-Chief

Prof. Dr. Paola Magnano
Kore University of Enna
Italy

Prof. Dr. Gabriela Topa
Social and organizational Psychology, Universidad Nacional de Educacion a Distancia
Spain

indexing-and-archiving

Indexing & Archiving

issn

ISSN

ISSN: 2424-8975 (Online)

ISSN: 2424-7979 (Print)

apc

Article Processing Charges (APCs)

US$1700

frequency

Publication Frequency

Monthly since 2024

Most Viewed

  • The Role of Social Support and Environment: The Mediating Effect of College Students’ Psychology and Behavior
    9012
  • The sustainable practice of education fairness in China: The influence of college students’ perceptions of senior teachers' support on students’ well-being
    8051
  • The Balance Between Resource Development And Environmental Protection Is “Social Contracting”: The Case Of LAPSSET Project In Kenya
    7935
  • Analyzing impacts of campus journalism on student’s grammar consciousness and confidence in writing engagements
    7377
  • A trip down memory lane: Sustaining collective memory through old shophouses in Jalan Mendaling Kajang, Selangor
    5934

Keywords

Home > Archives > Vol. 10 No. 12 (2025): Publishing > Research Articles
ESP-3994

Published

2025-12-29

Issue

Vol. 10 No. 12 (2025): Publishing

Section

Research Articles

License

Copyright (c) 2025 Hind Moafak Abduljabbar, Waleed Mohammed Abdullah, Sameer Dawood Salman Bazool, Aseel I. Muhsin, Saad T. Y. Alfalahi, Volodymyr Temnikov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The journal adopts the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which means that anyone can reuse and redistribute the materials for non-commercial purposes as long as you follow the license terms and the original source is properly cited.

Author(s) shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed since 2023 Vol.8 No.2.

Under this license, author(s) will allow third parties to download, reuse, reprint, modify, distribute and/or copy the content under the condition that the authors are given credit. No permission is required from the authors or the publisher.

This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.

By providing open access, the following benefits are brought about:

  • Higher Visibility, Availability and Citations-free and unlimited accessibility of the publication over the internet without any restrictions increases citation of the article.
  • Ease of search-publications are easily searchable in search engines and indexing databases.
  • Rapid Publication – accepted papers are immediately published online.
  • Available for free download immediately after publication at https://esp.as-pub.com/index.php/ESP

 

Copyright Statement

1.The authors certify that the submitted manuscripts are original works, do not infringe the rights of others, are free from academic misconduct and confidentiality issues, and that there are no disputes over the authorship scheme of the collaborative articles. In case of infringement, academic misconduct and confidentiality issues, as well as disputes over the authorship scheme, all responsibilities will be borne by the authors.

2. The author agrees to grant the Editorial Office of Environment and Social Psychology a licence to use the reproduction right, distribution right, information network dissemination right, performance right, translation right, and compilation right of the submitted manuscript, including the work as a whole, as well as the diagrams, tables, abstracts, and any other parts that can be extracted from the work and used in accordance with the characteristics of the journal. The Editorial Board of Environment and Social Psychology has the right to use and sub-licence the above mentioned works for wide dissemination in print, electronic and online versions, and, in accordance with the characteristics of the periodical, for the period of legal protection of the property right of the copyright in the work, and for the territorial scope of the work throughout the world.

3. The authors are entitled to the copyright of their works under the relevant laws of Singapore, provided that they do not exercise their rights in a manner prejudicial to the interests of the Journal.

About Licence

Environment and Social Psychology is an open access journal and all published work is available under the Creative Commons Licence, Authors shall retain copyright of their work and grant the journal/publisher the right of first publication, and their work shall be licensed under the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

Under this licence, the author grants permission to third parties to download, reuse, reprint, modify, distribute and/or copy the content with attribution to the author. No permission from the author or publisher is required.

This broad licence is intended to facilitate free access to and unrestricted use of original works of all kinds. This ensures that published works remain free and accessible in perpetuity. Submitted manuscripts, once accepted, are immediately available to the public and permanently accessible free of charge on the journal’s official website (https://esp.as-pub.com/index.php/ESP). Allowing users to read, download, copy, print, search for or link to the full text of the article, or use it for other legal purposes. However, the use of the work must retain the author's signature, be limited to non-commercial purposes, and not be interpretative.

Click to download <Agreement on the Licence for the Use of Copyright on Environmental and Social Psychology>.

How to Cite

Hind Moafak Abduljabbar, Waleed Mohammed Abdullah, Sameer Dawood Salman Bazool, Aseel I. Muhsin, Saad T. Y. Alfalahi, & Volodymyr Temnikov. (2025). AI-Driven Environmental Impact Assessments: Ethical and Legal Considerations. Environment and Social Psychology, 10(12), ESP-3994. https://doi.org/10.59429/esp.v10i12.3994
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver

  • Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

AI-Driven Environmental Impact Assessments: Ethical and Legal Considerations

Hind Moafak Abduljabbar

Al-Turath University, Baghdad 10013, Iraq

Waleed Mohammed Abdullah

Al-Mansour University College, Baghdad 10067, Iraq

Sameer Dawood Salman Bazool

Al-Mamoon University College, Baghdad 10012, Iraq

Aseel I. Muhsin

Al-Rafidain University College, Baghdad 10064, Iraq

Saad T. Y. Alfalahi

Madenat Alelem University College, Baghdad 10006, Iraq

Volodymyr Temnikov

National Aviation University, Kyiv 03058 Ukraine


DOI: https://doi.org/10.59429/esp.v10i12.3994


Keywords: Artificial Intelligence; Environmental Impact Assessment; Transparency; Bias Detection; Regulatory Compliance; Sustainability; Accuracy; Efficiency


Abstract

Integrating artificial intelligence (AI) into Environmental Impact Assessments (EIAs) could potentially enhance the efficiency, accuracy, and transparency of the process. That said, there are still concerns about potential biases, following the legal standards, and transparent decision-making procedures. This study evaluates the performance of AI-driven EIAs (electronic information applications) with respect to accuracy, transparency, bias detection, and regulatory compliance. It also aims to identify areas for potential development and lead to recommendations for better aligning AI technologies with existing legal systems. A mixed methods study design included qualitative stakeholder interviews and quantitative analysis. We compared the performance of the AI model with existing benchmarks using statistical impurities, such as entropy-based transparency metrics, bias detecting measures, and the Clopper-Pearson confidence interval. Efficiency, accuracy, and compliance were used to evaluate the solution's respective performance. The AI based approach used in EIA model showed substantial gains with (8.2%) increase in accuracy, (60%) decrease in manpower requirement and (40%) decrease in operational cost. Transparency measures reported much higher reporting rates, and bias detection had lower false positive and false negative rates. It has proven adherent to compliance, within a tight confidence interval range) which means it can be forensically relied upon and defended in a court of law. The prospects for using AI in Environmental Impact Assessments are extensive and could lead to more reliable, efficient, and transparent systems that can significantly improve environmental compliance. These findings could help set the stage for additional research to refine AI practices and develop standardized legal frameworks capable of ensuring fairness and accountability within environmental decision-making processes.


References

[1]. 1.Muchokore F, & Kaur, G. Integration of Artificial Intelligence into Sustainable Development Goals in India. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 2024.

[2]. 2.Adelakun B, Antwi, B., Ntiakoh, A., & Eziefule, A. Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting. Finance & Accounting Research Journal. 2024;6(6).

[3]. 3.Ligozat A-L, Lefevre J, Bugeau A, Combaz J. Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions. Sustainability [Internet]. 2022; 14(9).

[4]. 4.Genovesi S, Mönig JM. Acknowledging Sustainability in the Framework of Ethical Certification for AI. Sustainability [Internet]. 2022; 14(7).

[5]. 5.Kazim EaK, Adriano. The Interrelation Between Data and AI Ethics in the Context of Impact Assessments SSRN Electronic Journal. 2020.

[6]. 6.Raab CD. Information privacy, impact assessment, and the place of ethics⁎. Computer Law & Security Review. 2020;37:105404.

[7]. 7.Uwaga Monica A, Emmanuel Olurotimi O. Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices. Computer Science & IT Research Journal. 2024;5(5):1178-209.

[8]. 8.Calvi A, Kotzinos D. Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency; Chicago, IL, USA: Association for Computing Machinery; 2023. p. 1229–45.

[9]. 9.Thelisson E, Mika G, Schneiter Q, Padh K, Verma H. Toward responsible AI use: Considerations for sustainability impact assessment. arXiv preprint arXiv:231211996. 2023.

[10]. 10.Nitta I, Ohashi K, Shiga S, Onodera S, editors. AI Ethics Impact Assessment based on Requirement Engineering. 2022 IEEE 30th International Requirements Engineering Conference Workshops (REW); 2022 15-19 Aug. 2022.

[11]. 11.Etukudoh E, Hamdan, A., Ibekwe, K., Umoh, A., & Ilojianya, V. AI and machine learning in climate change research: A review of predictive models and environmental impact. World Journal of Advanced Research and Reviews. 2024;21(01):1999–2008.

[12]. 12.Walacik M, Chmielewska A. Real Estate Industry Sustainable Solution (Environmental, Social, and Governance) Significance Assessment—AI-Powered Algorithm Implementation. Sustainability [Internet]. 2024; 16(3).

[13]. 13.Burr C, Leslie D. Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies. AI and Ethics. 2023;3(1):73-98.

[14]. 14.Ndiema KW. Implications of Artificial Intelligence (AI) in land management. Journal of Computer Science and Technology (JCST). 2024;2(1):1-9.

[15]. 15.Agu E, Abhulimen, A., Obiki-Osafiele, A., Osundare, O., Adeniran, I., & Efunniyi, C. Discussing ethical considerations and solutions for ensuring fairness in AI-driven financial services. International Journal of Frontline Research in Multidisciplinary Studies. 2024;03(02):001–9.

[16]. 16.Thakur N, Sharma A. Ethical Considerations in AI-driven Financial Decision Making. Journal of Management & Public Policy. 2024;15:41-57.

[17]. 17.Mirishli S. Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy. ANCIENT LAND. 2024;6:40-55.

[18]. 18.Ejjami R. AI-driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems. International Journal For Multidisciplinary Research. 2024.

[19]. 19.Wright J, Avouris A, Frost M, Hoffmann S. Supporting academic freedom as a human right: challenges and solutions in academic publishing. The International Journal of Human Rights. 2022;26(10):1741-60.

[20]. 20.Ballester I, Kampel M, editors. Ethical Impact Identification of a Dementia Behaviour Monitoring System. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG); 2024 27-31 May 2024.

[21]. 21.Agbese M, Mohanani R, Khan A, Abrahamsson P. Implementing AI Ethics: Making Sense of the Ethical Requirements. Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering; Oulu, Finland: Association for Computing Machinery; 2023. p. 62–71.

[22]. 22.Lee SU, Perera H, Liu Y, Xia B, Lu Q, Zhu L, et al. Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework. arXiv preprint arXiv:240800965. 2024.

[23]. 23.Ntoutsi E, Fafalios P, Gadiraju U, Iosifidis V, Nejdl W, Vidal M-E, et al. Bias in data-driven artificial intelligence systems—An introductory survey. WIREs Data Mining and Knowledge Discovery. 2020;10(3):e1356.

[24]. 24.Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447-53.

[25]. 25.Christoforaki M, Beyan O. AI Ethics—A Bird’s Eye View. Applied Sciences [Internet]. 2022; 12(9).

[26]. 26.Saeidnia HR, Hashemi Fotami SG, Lund B, Ghiasi N. Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact. Social Sciences [Internet]. 2024; 13(7).

[27]. 27.Uzougbo NS, Ikegwu CG, Adewusi AO. Legal accountability and ethical considerations of AI in financial services. GSC Advanced Research and Reviews. 2024.



ISSN: 2424-8975
21 Woodlands Close #02-10, Primz Bizhub,Postal 737854, Singapore

Email:editorial_office@as-pub.com