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International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Abstract

It is an empirical study examining how AI can be the driving force for cultural heritage and humanities conservation. As the AI tools that digitize, analyze, and conserve cultural resources have become in recent years, they have led to digital transformations in machine learning, digital twinning, and natural language processing. These technologies answer the industry's most challenging problems, such as the loss of historical material, access restrictions to heritage sites, and the labor-intensive nature of traditional conservation techniques. In implementing AI in heritage, institutions can document more accurately, keep records predictively, and offer more interesting public experiences via rich digital media.

Nevertheless, the effects of AI on cultural heritage do not stop there. It is an article about AI's shift to humanities research practices. Humanities researchers have long been guided by interpretive, qualitative methods of historical analysis: texts, artifacts, and cultural histories. Artificial intelligence tools, in contrast, bring discipline into the data – looking for patterns and relationships humans cannot. Natural language processing systems, for example, can rapidly and accurately transcribe and interpret vast archive texts – unearthing unseen truths and forgotten voices from long ago. Just as radically, AI-powered image recognition software allows scientists to pick out finer features in paintings, excavations, and manuscripts, allowing for novel interpretations and insights.

The study also points out that interdisciplinary cooperation leads to meaningful AI integration. The best uses of AI for heritage conservation emerge from collaborations between technologists, humanities scholars, and cultural experts. These collaborations also promote openness to the cultural landscape in which AI operates so that technological advances are culturally sensitive and ethically justified. The case studies in this study show how such partnerships have brought about creative approaches to preserve the dignity of heritage while tapping the power of AI to be revolutionary.

The research also considers global inequalities in access to AI technology. Big institutions have already been leading AI-enabled heritage initiatives in tech-enabled parts of the world, but many marginalized communities lack the resources to do so. This digital divide threatens to create a warped account of world culture, favoring histories at the expense of others. The research calling for open-access AI tools, international funding networks, and knowledge-sharing networks that democratize AI-based heritage conservation must overcome this asymmetry.

This paper provides a systematic plan for an interdisciplinary AI in cultural heritage and humanities research. It is a paradigm that emphasizes the marriage of technological progress and humanism, in which AI does not take over from human interpretation but augments it. By linking AI devices to cultural conservation standards, organizations can save heritage stories with sensitivity to their historical, social, and emotional resonance.

In the long run, this research suggests that AI is unsurpassable and promising as a means of merging tradition and technology, providing new ways to access the past and prepare for the future. It offers theory and practice for more sustainable, inclusive, and innovative heritage management. It aims to encourage a more dynamic exchange between digital Creativity and human history so that cultural narratives are visible and alive forever.

Date

January 06,2025

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