Ethical Research Using Artificial Intelligence in Academic Research: A Systematic Review of Current Practices, Challenges, and Future Directions.

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Date

2024

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Daystar University, Global Cybershield Conference

Abstract

The ethical implications of using artificial intelligence (AI) in academic research are examined in this systematic review, which also covers present practices, obstacles, and suggested future paths. Using a variety of primary and secondary sources, the study seeks to present a thorough review of the ethical issues raised by the application of AI technology in academic research. The first section of the paper outlines the fundamental ideas of ethical research, stressing the significance of openness, justice, and the defense of individual rights in the context of AI applications. After that, it analyzes how ethical research methods are currently going, showing areas where academics and institutions agree and disagree. The danger of algorithmic bias, the necessity of strong data governance, and the necessity of transparently communicating AI methods and results are some of the major issues that are covered. The study delves into new techniques for tackling these issues, including the creation of moral standards, encouraging openness in AI research, and fostering interdisciplinary approaches to moral investigation. In the future, the study suggests a number of research avenues, such as investigating new ethical frameworks appropriate for the intricacies of artificial intelligence, improving public participation mechanisms in AI research, and pursuing international collaboration to create worldwide guidelines for moral AI research. In the end, this systematic study aims to highlight the importance of ethical considerations in the development of AI technologies and to educate and motivate future conversations on the ethical implications of AI in academic research.

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Citation

Ogore, F. M. (2024). Ethical Research Using Artificial Intelligence in Academic Research: A Systematic Review of Current Practices, Challenges, and Future Directions. Daystar University, Global Cybershield Conference