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Humanities and AI Virtual Institute Copy

For Humanities Scholarship
Humanistic research is challenging, demanding significant time, energy, and resources to analyze extensive sources for insightful conclusions. However, AI tools present limitations for humanities researchers, as the technology often prioritizes uniformity, often erasing the cultural, material, and perceptual differences that are essential to humanistic research. We believe that combining traditional methods with AI and data-driven approaches can greatly expand access to scholarly resources and enable more rigorous, data-informed research outcomes in the humanities.
For AI Development
AI models face challenges in multilingual and multimodal contexts common in the humanities. Current AI also struggles with the diverse nature of historical situations, cultural viewpoints, languages, aesthetics, and ambiguities prevalent in humanities scholarship. Conversely, humanities disciplines offer extensive knowledge in areas where AI is weak, such as complex human reasoning, narrative style, metaphorical understanding, and evaluating excellence in ambiguous fields like art and literature. We believe that integrating this humanistic knowledge can significantly advance and improve AI technology.