USING AI FOR ACADEMIC RESEARCH: NAVIGATING ETHICAL CHALLENGES IN USING AI FOR RESEARCH
Keywords:
Kеywоrds: artificial intelligence, academic research, ethical challenges, bias, transparency, data privacy, accountability, responsible AI, research ethics, innovation.Abstract
Abstract. This article explores the integration of artificial intelligence (AI) in academic research, focusing on the ethical challenges it poses and strategies to address them. Key issues such as bias, transparency, data privacy, accountability, and misuse are examined. Practical solutions for fostering responsible and ethical use of AI in research are proposed, including education, collaboration, and policy development. The discussion emphasizes the balance between innovation and ethical responsibility in leveraging AI for academic advancements.
References
1. Floridi, L., & Cowls, J. (2019). AI for social good: Navigating the ethical and technical challenges. Ethics and Information Technology, 21(2), 65–73.
2. Stahl, B. C., & Wright, D. (2023). Ethics of AI and Robotics: A Literature Review. Science and Engineering Ethics, 24(4), 1201-1247.
3. Weller, A. (2024). Transparency: Ethical and Social Challenges in AI. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180064. DOI: 10.1098/rsta.2018.0064
4. Bryson, J. J., & Theodorou, A. (2023). How Society Can Maintain Human-Centric Artificial Intelligence. Nature, 568(7753), 490-495
5. Mittelstadt, B. D., Russell, C., & Wachter, S. (2019). Explaining explanations in AI. Communications of the ACM, 62(10), 58–66.
6. Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
7. Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency, 149–159.
8. Dignum, V. (2018). Ethics in artificial intelligence: Introduction to the special issue. Ethics and Information Technology, 20(1), 1–3.
