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AI in humanities research: envisioning new scientific paradigms | ||
| Al-Noor Journal for Digital Media Studies | ||
| Article 14, Volume 2, Issue 1, April 2025, Pages 190-212 PDF (350.79 K) | ||
| Document Type: Original Article | ||
| DOI: 10.69513/jndm.v2.i1.a14 | ||
| Author | ||
| Abbood Mohammed Wahhab | ||
| RUDN University, Miklukho-Maklaya str., 6, Moscow, 117198, Russia | ||
| Abstract | ||
| The convergence of artificial intelligence (AI) and the humanities represents a radical restructuring of the epistemological structure, research tools, and analytical methodologies in intellectual fields that have long been based on human interpretation and subjective experience. AI is now penetrating the fabric of the humanities, bringing about profound transformations in the ways we understand texts, observe cultural phenomena, and reconstruct historical perceptions.However, this intersection is not without theoretical complexities and problematic questions that impose themselves on academic discourse. To what extent can AI be an objective tool in analyzing human texts based on symbols, semantics, and historical contexts? Can machines emulate the emotional and interpretive complexity of the human mind? The entry of AI into the humanities raises profound questions about the nature of creativity itself and the extent to which machines can become a partner in knowledge production, rather than a mere intermediary for its analysis. Furthermore, this overlap raises ethical issues related to the biases AI algorithms may harbor and the extent to which they impact human knowledge production processes. Can AI ever be neutral? Or does it reproduce prevailing intellectual patterns based on the data it is fed? These questions are not merely abstract philosophical issues; they have practical implications for the future of academic research in the humanities. This research not only seeks to explore the enormous potential that AI offers in redefining humanities methodologies, but also offers a critical reading of the implications of this overlap by questioning the foundations upon which it is built and exploring how to reshape the relationship between humans and machines within the field of cognitive research. Ultimately, AI is a powerful tool capable of expanding the scope of analysis and understanding, but it cannot replace the human mind. For now, it remains merely a reflection of the knowledge and imagination we instill in it, and is fraught with ethical challenges represented by the biases inherent in the human element. | ||
| Keywords | ||
| machine learning; artificial intelligence; research; Text analysis; digital humanities; natural language processing; ethical challenges | ||
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