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Artificial intelligence is reshaping various sectors, including education, by challenging traditional academic norms. Institutions are increasingly relying on AI-driven anti-plagiarism tools, which ironically are also built on AI technology. This raises questions about the narrow definition of AI's role in academia, suggesting a need for a broader perspective that embraces AI as a tool for innovation and learning.
The article advocates for a fundamental shift in how academic institutions perceive and integrate AI, emphasizing its potential to enhance creativity and research. By examining global strategies and case studies, it becomes clear that AI should not be limited to plagiarism detection but celebrated as a catalyst for educational transformation. The future of academia lies in harnessing AI's capabilities to foster critical thinking and real-world problem-solving.
• AI challenges traditional academic norms and enhances educational practices.
• AI's role in academia should extend beyond plagiarism detection.
AI is a technology that simulates human intelligence processes, impacting various sectors including education.
Plagiarism detection involves using AI tools to identify copied content in academic submissions.
Machine learning is a subset of AI that enables systems to learn from data and improve over time.
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