Abstract
Museums play an important role in preserving cultural heritage and providing spaces where historical artifacts and artistic collections can be displayed and interpreted. In museum architecture, lighting is a critical environmental element that influences artifact visibility, spatial organization, and the overall quality of exhibition environments. However, conventional lighting systems often operate with fixed illumination levels that may not adequately respond to changing spatial conditions or the preservation needs of sensitive artifacts. The rapid advancement of artificial intelligence (AI) has introduced new opportunities for adaptive lighting systems capable of regulating illumination based on environmental and spatial requirements. This study examines AI-driven lighting strategies for enhancing spatial quality in heritage museum design. The research adopts a systematic literature review approach, drawing from existing studies on museum lighting, artificial intelligence in architectural systems, and spatial quality in built environments. The review explores how intelligent lighting technologies can improve artifact visibility, spatial clarity, and environmental performance in museum spaces. Findings indicate that AI-driven lighting systems offer significant advantages over conventional lighting by enabling adaptive control of brightness, color temperature, and light distribution. The study concludes that integrating AI-driven lighting strategies in museum design can enhance spatial quality while supporting effective artifact preservation and exhibition performance.