Cultural Heritage, Community Memory, and AI-Based Documentation: Ethical Models for Participatory Preservation

Abstract

Cultural heritage is not only preserved through monuments, artifacts, and archival records but also through community memory, oral narratives, rituals, practices, languages, and lived experiences. With the rapid growth of artificial intelligence, new possibilities have emerged for documenting, organizing, and preserving cultural heritage in more accessible and scalable ways. However, AI-based documentation also raises serious ethical concerns related to ownership, consent, representation, data bias, cultural misuse, and the exclusion of local communities from decision-making. This paper examines the relationship between cultural heritage, community memory, and AI-supported documentation by focusing on ethical models for participatory preservation. The study highlights how AI tools can support heritage mapping, oral history transcription, image classification, digital archiving, multilingual access, and community-based storytelling when they are designed with transparency and cultural sensitivity. The findings suggest that participatory preservation requires more than technical efficiency; it requires shared authority, community consent, local control over heritage data, and long-term accountability. The paper argues that ethical AI in heritage work should be guided by principles of co-creation, inclusivity, data sovereignty, contextual interpretation, and protection against cultural exploitation. By placing communities at the center of documentation processes, AI can become a supportive tool for cultural continuity rather than a replacement for human memory, identity, and custodianship. The paper concludes that sustainable heritage preservation depends on balancing technological innovation with ethical responsibility, ensuring that AI strengthens rather than weakens the voices of the communities whose heritage is being preserved.