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    “Artificial Intelligence in Academia: A Tool, Not a Replacement”

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    By Milcah Tanimu

    The integration of artificial intelligence (AI) into academic tasks is an undeniable reality, providing scholars and students with tools that enhance research and learning processes. The author emphasizes that questioning the relevance of AI in academia is akin to rejecting a tractor on a farmland, highlighting its essential role in modern intellectual endeavors.

    Artificial intelligence, as defined by Britannica, involves developing systems with intellectual processes characteristic of humans, such as reasoning, discovering meaning, generalizing, or learning from past experience. The interdisciplinary nature of AI combines knowledge from fields such as computer science, physiology, and philosophy, enabling the development of advanced technologies to solve real-life problems.

    The article explores four different approaches to AI, as outlined by Norvig and Russell in their book “Artificial Intelligence: A Modern Approach.” These approaches include thinking humanly, thinking rationally, acting humanly, and acting rationally.

    The author addresses the question of whether AI is a recent phenomenon, highlighting its significant presence since the advent of Google in 1998. AI has played a crucial role in facilitating research for academics and students, making it an invaluable tool in the scholarly landscape.

    While acknowledging the advantages of AI in academia, the author also recognizes the challenges it poses. The rapid growth of AI is seen as a potential threat to human intelligence, defined by traits such as creativity, perception, and memory. The article emphasizes that AI, while serving as a useful tool, cannot replace human ingenuity, which involves practical assessment of real-life situations and discernment.

    The article discusses specific AI tools, such as ChatGPT, and raises concerns about their potential misuse. ChatGPT, described as a chatbot developed by OpenAI, allows users to steer a conversation towards desired parameters. The author notes instances of students using such tools as a complete replacement for their intellectual input, leading to potential plagiarism issues. However, the author emphasizes that the use of AI tools is not inherently wrong but should complement, not replace, human intelligence and input.

    In conclusion, the author asserts that AI has become an integral part of academia, but its role should be viewed as a gift to be used responsibly, not abused. While AI enhances research and learning processes, it cannot substitute the unique capabilities of human intelligence and ingenuity.

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