ARTIFICIAL INTELLIGENCE ETHICS

Authors

  • Shokirova Gavhar Shuhratovna Romitan District Technical School No. 3 Special Subject "Senior Teacher"

Keywords:

Artificial Intelligence, AI Ethics, Algorithmic Bias, Transparency, Accountability, Responsible AI, Ethical Frameworks.

Abstract

Artificial Intelligence (AI) has become an integral part of modern society, influencing decision-making, healthcare, finance, education, and numerous other domains. While AI offers transformative benefits, it raises critical ethical concerns, including privacy, bias, accountability, and transparency. This study examines the principles, challenges, and frameworks of AI ethics, emphasizing the need for responsible design, deployment, and governance. Through a review of contemporary literature, case studies, and regulatory approaches, the research highlights the importance of aligning AI systems with human values, societal norms, and legal standards. The findings suggest that ethical AI requires multidisciplinary collaboration, transparency in algorithmic decision-making, and robust regulatory mechanisms to mitigate risks and promote trust in AI technologies.

Downloads

Download data is not yet available.

References

Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research, 81, 1–15.

O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707.

Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.

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.

Cath, C. (2018). Governing Artificial Intelligence: Ethical, Legal and Technical Opportunities and Challenges. Philosophical Transactions of the Royal Society A, 376(2133), 20180080.

Dignum, V. (2019). Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer.

IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. (2020). Ethically Aligned Design, Version 2. IEEE.

European Commission. (2021). Proposal for a Regulation on Artificial Intelligence (AI Act). Brussels.

OECD. (2021). OECD AI Principles. Organisation for Economic Co-operation and Development.

Downloads

Published

2026-02-19

How to Cite

Shokirova Gavhar Shuhratovna. (2026). ARTIFICIAL INTELLIGENCE ETHICS. Journal of Applied Science and Social Science, 16(02), 915–920. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/3376

Issue

Vol. 16 No. 02 (2026): Volume 16 Issue 02

Section

Articles

License

Creative Commons License

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

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.