Artificial Intelligence (AI) is reshaping the landscape of academic research, offering unprecedented opportunities to enhance efficiency, accuracy, and innovation. From automating literature reviews to generating hypotheses and analysing vast datasets, AI has become an invaluable tool for researchers across disciplines. However, its integration into research workflows also raises significant ethical concerns. Issues such as algorithmic bias, lack of transparency, data privacy, and the risk of diminishing human critical thinking highlight the need for responsible and regulated use of AI. This paper explores the dual role of AI as both an enabler and a disruptor in academic research. It examines real-world applications, analyses the ethical dilemmas involved, and proposes recommendations for fostering ethical and impactful use of AI in the academic community.
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Chhaya Gupta (Mon,) studied this question.
www.synapsesocial.com/papers/68d45e5831b076d99fa5e7c9 — DOI: https://doi.org/10.51767/je1409
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