2 Alexandria University (EGYPT)
3 Vanderbilt (UNITED STATES)
About this paper:
Appears in: EDULEARN23 Proceedings
Publication year: 2023
Pages: 6703-6707
ISBN: 978-84-09-52151-7
ISSN: 2340-1117
doi: 10.21125/edulearn.2023.1764
Conference name: 15th International Conference on Education and New Learning Technologies
Dates: 3-5 July, 2023
Location: Palma, Spain
The integration of Artificial Intelligence (AI) in education has brought numerous benefits, such as personalized learning and efficient assessment of student performance. However, the unethical use of AI in education can lead to serious consequences. One of the most significant risks is the potential for bias in AI algorithms, which can perpetuate discrimination against marginalized groups. Additionally, AI-powered surveillance tools, such as facial recognition and behavioral analysis, violate student privacy rights and undermine trust in educational institutions. Another concern is the potential for AI to replace human educators and perpetuate the digital divide by favoring students with access to technology. Lastly, the unethical use of AI in education can lead to the dehumanization of the learning experience, reducing education to a mere transactional process. Therefore, it is crucial to implement ethical guidelines for the use of AI in education to ensure that it is used for the benefit of all students and does not perpetuate societal inequalities.

Artificial Intelligence (AI) has rapidly advanced to a point where it can produce human-like content, including writing articles. The use of AI-generated content has numerous advantages, including efficiency and reduced costs. However, it raises concerns regarding authenticity and reliability. To address this, AI can also be used to detect whether an article was written by a human or generated by an AI language model. Several methods have been developed, including analyzing linguistic features, writing style, and coherence of the content. These methods have demonstrated promising results in accurately detecting AI-generated content. The combination of AI-generated content and AI-based detection of authenticity provides a powerful tool for content creation and quality control in various industries, including journalism, marketing, and advertising.

In this paper, we explore examples of how AI can be miss used and if AI can be used as a way to detect it as well.
AI, Artificial Intelligence, Education Ethics.