IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 03

Published on: March 2026 2026

ARTIFICIAL INTELLIGENCE AND QUESTION OF ETHICS IN THE DIGITAL AGE

Gurdeep Singh

Department of Philosophy Punjabi University Patiala

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence (AI) is a disruptive technology that is defining the decision-making process in social, economic, and institutional settings. Whereas, AI is efficient, innovative, and predictive, its fast growth has spawned serious ethical issues. This paper gives a theoretical analysis of the most important ethical aspects of AI, such as algorithmic discrimination and bias, transparency and Explainability, the risk of privacy and data protection, accountability, the disruption of employment, manipulation of behavior, and the ethical consequences of surveillance technologies.

Based on the available ethical viewpoints, the paper will highlight the necessity of incorporating the principles of fairness, transparency, accountability, human control, and respect of fundamental rights into AI creation and regulation. It concludes that an anthropocentric and ethically sound approach is needed to make sure that AI will improve the welfare of the society with a minimal number of risks and unforeseen consequences.

How to Cite this Paper

Singh, G. (2026). Artificial Intelligence and Question of Ethics in the Digital Age. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(03). https://doi.org/10.55041/ijcope.v2i3.171

Singh, Gurdeep. "Artificial Intelligence and Question of Ethics in the Digital Age." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.171.

Singh, Gurdeep. "Artificial Intelligence and Question of Ethics in the Digital Age." International Journal of Creative and Open Research in Engineering and Management 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.171.

Search & Index

References


  1. Afreen, J. (2025). Systematic literature review on bias mitigation in generative AI. AI and Ethics. https://doi.org/10.1007/s43681-025-00721-9

  2. Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104(3), 671–732. https://doi.org/10.15779/Z38BG31

  3. Batool, A. (2025). AI governance: A systematic literature review. AI and Ethics. https://doi.org/10.1007/s43681-024-00653-w

  4. Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1–12. https://doi.org/10.1177/2053951715622512

  5. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles,

  6. Hanna, M. G. (2025). Ethical and bias considerations in artificial intelligence and machine learning. Journal of Big Data & Ethics Review. https://doi.org/10.1016/S0893-3952(24)00267

  7. Joseph, J. (2025). Algorithmic bias in public health AI: Challenges to equity. Public Health AI Journal. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12325396/

  8.  Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21. https://doi.org/10.1177/2053951716679679

  9. Nouis, S. C. E. (2025). Evaluating accountability, transparency, and bias in AI: Evidence from clinical settings. BMC Medical Ethics. https://doi.org/10.1186/s12910-025-01243-z

  10. O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Mar 27 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top