STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Mobile Computing, Communications & Mobile Networks Review Article

Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains

  1. Khushi Singh Department of Computer Application, Echelon Institute of Technology, Faridabad
  2. Sheetal Singh Department of Computer Application, Echelon Institute of Technology, Faridabad
  3. Aritro Chakraborty Department of Computer Application, Echelon Institute of Technology, Faridabad
  4. Himanshu Singh Department of Computer Application, Echelon Institute of Technology, Faridabad
  5. Sujeet Kumar Department of Computer Application, GL BAJAJ Institute of Management, Greater Noida

Abstract

This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field. As NLP technologies are increasingly integrated into domains such as healthcare, finance, education, and governance, ethical concerns related to algorithmic bias, data privacy, fairness, accountability, and system transparency have become more prominent. This paper systematically examines how different researchers conceptualize and address these ethical issues, highlighting both converging and diverging perspectives. Particular attention is given to contrasting approaches to data privacy, including consent, anonymization, and responsible data usage, as well as shared strategies aimed at improving transparency and reducing bias in NLP models. Additionally, the study explores the broader societal consequences of ethical decision making in NLP, such as impacts on marginalized communities and public trust in automated systems. By integrating diverse scholarly viewpoints, this analysis provides a clearer understanding of the current ethical landscape in NLP research and development. The findings aim to inform future research directions and support the design of more responsible, inclusive, and ethically grounded NLP applications.

Keywords

References (10)

  1. Benotti L, Blackburn P. Ethics consideration sections in natural language processing papers. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022:4509-4516. doi:10.18653/v1/2022.emnlp-main.299
  2. Ma Y. A Study of Ethical Issues in Natural Language Processing with Artificial Intelligence. Journal of Computer Science and Technology Studies. 2023;5(1):52-56. doi:10.32996/jcsts.2023.5.1.7
  3. Hovy D, Prabhumoye S. Five sources of bias in natural language processing. Language and Linguistics Compass. 2021;15(8). doi:10.1111/lnc3.12432
  4. Lalor J, Yang Y, Smith K, Forsgren N, Abbasi A. Benchmarking Intersectional Biases in NLP. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022:3598-3609. doi:10.18653/v1/2022.naacl-main.263
  5. Shah DS, Schwartz HA, Hovy D. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020:5248-5264. doi:10.18653/v1/2020.acl-main.468
  6. Akgun S, Greenhow C. Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics. 2021;2(3):431-440. doi:10.1007/s43681-021-00096-7
  7. Huallpa, et. al. JJ. Exploring the ethical considerations of using Chat GPT in university education. Periodicals of Engineering and Natural Sciences (PEN). 2023;11(4):105-115. doi:10.21533/pen.v11.i4.200
  8. Alfano M, Sullivan E, Ebrahimi Fard A. Ethical pitfalls for natural languages processing in psychology. In: Dehghani M, Boyd RL, editors. Handbook of Language Analysis in Psychology. New York: Guilford Press; 2022.
  9. Benotti L, Fort K, Kan MY, Tsvetkov Y. Understanding Ethics in NLP Authoring and Reviewing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. 2023:19-24. doi:10.18653/v1/2023.eacl-tutorials.4
  10. Wang C, Liu S, Yang H, Guo J, Wu Y, Liu J. Ethical Considerations of Using ChatGPT in Health Care. Journal of Medical Internet Research. 2023;25:e48009. doi:10.2196/48009
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