Human Interest and Moral Responsibility in The Application of Artificial Intelligence Technologies
Keywords:
Artificial intelligence, human interest, ethical responsibility, digital ethics, justice, transparency, accountability, personal data, human rights, algorithmic bias, human-centered approach, digital equality.Abstract
This article analyzes issues of human interest and moral responsibility during the application of artificial intelligence technologies. It is highlighted that in modern society, artificial intelligence is being widely implemented in many fields such as medicine, education, economics, management, and information exchange, which, along with its positive potential, also raises complex ethical issues. The article interprets principles such as the priority of human interests, justice, transparency, accountability, privacy of personal data, digital equality, and security as the primary criteria for assessing artificial intelligence.
References
1.Moore M. G., Kearsley G. Distance Education: A Systems View of Online Learning. – 3rd ed. – Belmont, CA: Wadsworth Cengage Learning, 2012. – 336 p.
2.Anderson T., ed. The Theory and Practice of Online Learning. – 2nd ed. – Athabasca: AU Press, 2008. – 472 p.
3.Garrison D. R. E-Learning in the 21st Century: A Community of Inquiry Framework for Research and Practice. – 3rd ed. – New York: Routledge, 2017. – 168 p.
4.Hrastinski S. What do we mean by blended learning? // TechTrends. – 2019. – Vol. 63. – P. 564–569.
5.Kear K. Online and Social Networking Communities: A Best Practice Guide for Educators. – New York: Routledge, 2011. – 204 p.
6.Salmon G. E-tivities: The Key to Active Online Learning. – 2nd ed. – New York: Routledge, 2013. – 240 p.
7.Palloff R. M., Pratt K. Lessons from the Virtual Classroom: The Realities of Online Teaching. – 2nd ed. – San Francisco: Jossey-Bass, 2013. – 247 p.







