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AI for Academic Research
0
Zitationen
3
Autoren
2025
Jahr
Abstract
Artificial intelligence (AI) is transforming academic research by streamlining methodologies, accelerating discovery, and expanding analytical capabilities across disciplines. In STEM, AI enables efficient data analysis, predictive modeling, and automation of complex processes. In medicine, it aids diagnostics and drug development, while in the humanities and social sciences, it supports large-scale text analysis and cultural interpretation. Disciplines like law, education, business, archaeology, and psychology are also leveraging AI for precision, efficiency, and innovation. AI-generated tools assist in drafting, modeling, and decision-making, enhancing both productivity and collaboration. However, these benefits come with challenges—bias, opacity, and ethical concerns surrounding authorship and data privacy. This chapter provides a comprehensive overview of AI's cross-disciplinary applications, examines its ethical implications, and offers practical strategies and future directions for integrating AI responsibly within academic research ecosystems.
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