Artificial Intelligence (AI) and Cheating: The Concept of Generative Artificial Intelligence (GenAI)

Artificial Intelligence (AI) and Cheating: The Concept of Generative Artificial Intelligence (GenAI)

DOI: 10.4018/979-8-3693-1351-0.ch009
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Abstract

Generative AI (GenAI) systems pose new challenges in academic dishonesty. Students may be tempted to use GenAI systems to cheat and submit content in assignments and projects that they did not create themselves. This points to the need for schools to focus on strong deterrent measures as well as informative and enhancing practices. Academic dishonesty is not limited to students. The use of GenAI in academia raises two extreme ethical problems. These problems relate to the ethical problems of the end user and the ethical problems in the development of this technology. The ethical use of GenAI technologies should be achieved in a way that respects human rights and takes into account user concerns. This new technology requires a rethinking of teaching methods, as well as assessment and evaluation. It is recommended that policymakers, students, and faculty work collectively and take responsibility for adopting ethical values in the process of integrating GenAI into academia.
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Ai Environment And Cheating

AI technology is widely used and rapidly evolving thanks to advances in machine learning, deep learning, natural language processing, and computer vision (Mondal, 2019). These technologies have made significant breakthroughs in natural language understanding as well as gaming, speech, and image recognition. Thanks to its capacity to automate repetitive tasks and identify behavioral patterns, AI has been integrated into important fields such as law, banking, policing, and the workplace, alongside traditional technology (Campolo, 2017). AI is spreading across different industries. It's not just used by professionals but also in fields such as gaming and education. This shows that it has a wide range of uses and affects many parts of our lives.

Key Terms in this Chapter

AI Ethics: Set of rules or guidelines that govern AI tools from their development to their use.

AI Chatbot: AI supported computer programs that can have text-based conversations with users.

Cheating: Dishonest or unethical actions done by a student or an academic to complete tasks or exams such as copying from another source or getting unauthorized help.

GenAI: A class of artificial intelligence systems that can generate new and original content based on the data they have trained on, usually by learning patterns.

Academic Integrity: Ethical behaviors expected from all the individuals in an educational environment such as honesty, fairness, and responsibility.

Plagiarism With AI: Using AI tools to generate content and presenting it as original work.

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