This paper proposes a conceptual framework integrating Explainable Artificial Intelligence (XAI) principles into Davis’ Technology Acceptance Model (TAM), specifically adapted for the cultural heritage sector. The model incorporates four core dimensions of humanized AI: multimodal interaction, interface ambience, responsible AI, and social AI, all four aimed at strengthening transparency, trust, and user engagement in heritage environments. Supported by nine empirically derived hypotheses, the framework addresses limitations in current AI adoption and identifies variables critical to user perception and institutional credibility. Emphasis is placed on ethical design, contextual adaptability, and interpretive alignment, offering cultural institutions a structured pathway for deploying AI technologies that uphold cultural stewardship ethics and enrich public engagement with heritage experiences.