AI in Humanities: Review

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Prof. Nivedita Manohar Mathkunti, Prof. U. Ananthanagu, Dr. Satish Menon

Abstract

Researchers in the humanities and social sciences are examining Artificial Intelligence’s (AI's) profound effects on human society and how they are changing research paradigms. The integration of connectionism and symbolism in neuro-symbolic AI holds great significance for the study of humanistic and social problems involving large amounts of data. It also plays a vital role in the development of new multidisciplinary fields like computational social sciences and digital humanities. The humanities and social sciences face significant challenges from artificial intelligence (AI), which is influencing public conversation with worries about acceptability, privacy, and economic ramifications. In addition to posing social issues, it also transforms research procedures by opening up new avenues for analysis across a range of disciplines by facilitating large-scale data analysis via machine and deep learning techniques. In addition to defining AI's scope specifically for this purpose, this study offers a vision for AI-powered social theory and suggests using digital data to test social theories based on predictive capacities using AI models. It illustrates AI's existing capacity to synthesize knowledge, reason, and systematically solve a variety of issues using Randall Collins' state breakdown model. AI-driven social theory is hampered, nevertheless, by practical, technological, and epistemological issues. Semantization (generating machine-manipulable verbal concepts), transferability (using learned information across contexts), and generativity (independently producing and upgrading concepts) are critical functions that are absent from current systems. By filling in these gaps, future research could establish AI as a pioneer in the development of cumulative social theories. With a wealth of data, neuro-symbolic AI has enormous potential to address difficult humanistic and social concerns. For burgeoning interdisciplinary fields like computational social sciences and digital humanities, its integration represents a significant advancement.

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