Ethical Implications of AI in Shaping Online Discussions (Deepfakes, Bots)
DOI:
https://doi.org/10.55737/qjssh.v-iv(CP).24286Keywords:
Ethical Implications, Online Discussions, Artificially Intelligent, Organizational DeploymentAbstract
The growing prevalence of artificial intelligence (AI) technologies in the classroom has ramifications for how the teacher and student perceive the experience of meaningful student labor. Despite the development and organizational deployment of AI, the promotion or limitation for online debates, as well as the ethical implications of these changes, are deficient. This research is situated at the intersection of the literatures on ethical AI and online conversations, and it provides a comprehensive analysis of the implementation of AI to either improve or degrade the management of online discussions. Firstly, to determine the ethical significance of online talks is an overview of the nature of these conversations and to draw on philosophical and educational ethics explanations. Following this, the researcher investigates the effects of three different ways of deploying artificial intelligence (replacing some duties, tending the machine, and enhancing student talents) across five aspects that constitute a holistic picture of online debates, and ultimately, the ethical implications of these three approaches are evaluated. This allows the contextualization of the online discussion literature for the era of AI, extension of this ethical literature into the education sector, and to the conclusion of a variety of practical consequences and future research possibilities.
References
Ardichvili, A., & Kuchinke, K. P. (2009). International perspectives on the meanings of work and working: Current research and theory. Advances in Developing Human Resources, 11(2), 155–167. https://doi.org/10.1177/1523422309333494
Bankins, S., & Formosa, P. (2023). The ethical implications of artificial intelligence (AI) for meaningful work. Journal of Business Ethics, 185(4), 725–740. https://doi.org/10.1007/s10551-023-05339-7
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. https://doi.org/10.1002/job.2735
Battista, D. (2024). Political communication in the age of artificial intelligence: an overview of deepfakes and their implications. Society Register, 8(2), 7–24. https://doi.org/10.14746/sr.2024.8.2.01
Bekey, G. A. (2005). Autonomous robots: from biological inspiration to implementation and control. MIT press.
Berry, G. R., & Hughes, H. (2020). Integrating work–life balance with 24/7 information and communication technologies: The experience of adult students with online learning: Students with online learning. The American Journal of Distance Education, 34(2), 91–105. https://doi.org/10.1080/08923647.2020.1701301
Boden, M. A. (2018). Artificial Intelligence: A Very Short Introduction. In Very Short Introductions. Oxford University Press. https://doi.org/10.1093/actrade/9780199602919.001.0001
Bruder, S., & Wedeward, K. (2003). Robotics in the classroom. IEEE Robotics & Automation Magazine, 10(3), 25–29. https://doi.org/10.1109/mra.2003.1233554
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
Bușu, A.-F. (2024). AI-powered classrooms: A revolution in learning environments. ANALELE UNIVERSITĂȚII DIN CRAIOVA SERIA ȘTIINȚE FILOLOGICE LIMBI STRĂINE APLICATE, 2024(1), 96–103. https://doi.org/10.52744/aucsflsa.2024.01.11
Camus, A. (1955). The Myth of Sisyphus. Gallimard. https://www2.hawaii.edu/~freeman/courses/phil360/16.%20Myth%20of%20Sisyphus.pdf
Chesney, R., & Citron, D. (2019). Deepfakes and the new disinformation war: The coming age of post-truth geopolitics. Foreign Affairs, 98(1), 147-158.
Danaher, J. (2017). Will life be worth living in a world without work? Technological unemployment and the meaning of life. Science and Engineering Ethics, 23(1), 41–64. https://doi.org/10.1007/s11948-016-9770-5
Dastin, J. (2018). Amazon scraps AI recruiting tool that showed bias against women. Reuters. https://www.reuters.com/article/us-amazon-com-jobs-automation-idUSKCN1MK08G
Eynon, R., Fry, J., & Schroeder, R. (2017). The ethics of online research. In The SAGE Handbook of Online Research Methods (pp. 19–37). SAGE Publications Ltd.
Farooqi, M. T. K., Amanat, I., & Awan, S. M. (2024). Ethical considerations and challenges in the integration of artificial intelligence in education: A systematic review. Journal of Excellence in Management Sciences, 3(4), 35–50. https://doi.org/10.69565/jems.v3i4.314
Floridi, L. (2021). Establishing the Rules for Building Trustworthy AI. Philosophical Studies Series, 41–45. https://doi.org/10.1007/978-3-030-81907-1_4
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, and Recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Frey, C. B., & Osborne, M. A. (2017). The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114(1), 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Gross, E. F., Juvonen, J., & Gable, S. L. (2002). Internet use and well‐being in adolescence. The Journal of Social Issues, 58(1), 75–90. https://doi.org/10.1111/1540-4560.00249
Hackman, J. R., & Oldham, G. R. (1976). Motivation through the Design of work: Test of a Theory. Organizational Behavior and Human Performance, 16(2), 250–279. https://doi.org/10.1016/0030-5073(76)90016-7
Ienca, M. (2023). On Artificial Intelligence and manipulation. Topoi: An International Review of Philosophy, 42(3), 833–842. https://doi.org/10.1007/s11245-023-09940-3
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1), 205395172210929. https://doi.org/10.1177/20539517221092956
Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104. https://doi.org/10.1007/s10639-021-10831-6
Marr, B. (2019). Artificial intelligence in practice: how 50 successful companies used AI and machine learning to solve problems. John Wiley & Sons.
McLaren, B. M., Scheuer, O., & Mikšátko, J. (2010). Supporting collaborative learning and e-discussions using artificial intelligence techniques. International Journal of Artificial Intelligence in Education, 20(1), 1-46. https://doi.org/10.3233/JAI-2010-0001
Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607
Mirsky, Y., & Lee, W. (2021). The creation and detection of deepfakes: A survey. ACM computing surveys (CSUR), 54(1), 1-41. https://doi.org/10.1145/3425780
Murray, R. (2024). The capability approach, pedagogic rights and course design: Developing autonomy and reflection through student-led, individually created courses. Journal of Human Development and Capabilities, 25(1), 131–150. https://doi.org/10.1080/19452829.2023.2261856
Page, K. M., & Vella-Brodrick, D. A. (2009). The ‘what’,‘why’and ‘how’of employee well-being: A new model. Social Indicators Research, 90, 441–458. https://doi.org/10.1007/s11205-008-9270-3
Rosé, C. P., & Ferschke, O. (2016). Technology support for discussion based learning: From computer supported collaborative learning to the future of massive open online courses. International Journal of Artificial Intelligence in Education, 26(2), 660–678. https://doi.org/10.1007/s40593-016-0107-y
Stevenson, M. (2016). A critical interpretative synthesis: The integration of automated writing evaluation into classroom writing instruction. Computers and Composition, 42, 1–16. https://doi.org/10.1016/j.compcom.2016.05.001
Tang, L., & Su, Y.-S. (2024). Ethical implications and principles of using artificial intelligence models in the classroom: A systematic literature review. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5), 25. https://doi.org/10.9781/ijimai.2024.02.010
Vaccari, C., & Chadwick, A. (2020). Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News. Social Media + Society, 6(1). https://doi.org/10.1177/2056305120903408
Wolf, S. (2012). Meaning in life and why it matters (Vol. 35). Princeton University Press.
World Economic Forum. (2018). The future of jobs report 2018. Centre for the New Economy and Society. https://www.weforum.org/reports/the-future-of-jobs-report-2018
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. Springeropen. https://doi.org/10.1186/s41239-019-0171-0
Downloads
Published
Issue
Section
License

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