Document Type : Research Paper
Abstract
This study investigates the impact of AI tools on scientific research in Iraq across diverse fields like engineering, technology, medicine, natural sciences, social sciences, physical education, sports sciences, and humanities. Conducted among researchers at Kut University College, the survey assesses AI adoption, benefits, challenges, and satisfaction levels. Widely employed AI tools include OpenCV for image analysis, GPT-4 and BERT for natural language processing, and TensorFlow and PyTorch for data analysis. Benefits encompass enhanced accuracy, efficiency, accelerated research processes, pattern discovery, and improved predictive models, with automation of routine tasks as a notable advantage. Survey findings reveal varying satisfaction levels with AI tools, from very satisfied to neutral, citing challenges like data quality, learning complexities, software expenses, and privacy issues. Despite obstacles, AI plays a pivotal role in data collection, analysis, result interpretation, report preparation, and literature review stages. The study underscores AI's transformative potential in Iraqi scientific research, particularly in precise data analysis during analytical stages. Researchers anticipate AI will further boost research efficiency, innovation, model enhancement, big data analysis, and trend identification. Continued development and ethical considerations are crucial to fully harness AI's capabilities in advancing scientific knowledge.
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