Lecturer, Arts Management

Dr Amber Chunzhi Yin

  • PhD in Cultural Studies & Digital Humanities, Nanyang Technological University, Singapore

Dr Amber Chunzhi Yin is an interdisciplinary researcher and culture entrepreneur working at the intersection of cultural studies, digital humanities, and heritage preservation. She holds a PhD in Cultural Studies & Digital Humanities from Nanyang Technological University, and has a background in fine art. Her research focuses on cultural analysis, ethical approaches to generative AI in heritage contexts, and cross-cultural perspectives on cultural interpretation.

Dr Yin’s research centres on cultural analysis and the preservation of cultural meaning through digital and emerging technologies. She is particularly interested in the ethical and interpretative challenges of applying AI technologies to cultural heritage preservation, including restoration, reconstruction and cultural interpretation across contexts.

Dr Yin has contributed to scholarly and applied work on responsible digital heritage practice, with a focus on developing rigorous, ethics-informed approaches for using AI and other computational methods in cultural contexts. Her publications and ongoing projects examine how cultural meaning is represented, transformed, and safeguarded when heritage is digitised, reconstructed or interpreted through AI systems, and translate these insights into practical strategies that support research, education and policy-relevant discussions.

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Dr Yin’s research area and expertise span cultural studies and digital humanities, with a specialised focus on digital heritage preservation and the ethical governance of AI in heritage contexts.
 

She investigates how cultural meaning is encoded and transmitted through symbols, materials, and narratives, and how these meanings can be responsibly interpreted, reconstructed, or preserved using emerging technologies.

Her expertise includes cultural and symbolic analysis, cross-cultural heritage interpretation, ethics-informed evaluation of AI-enabled restoration and reconstruction, and the development of conceptual frameworks that support trustworthy digital heritage practice.