China has entered a new era characterized by the deep integration of artificial intelligence and population aging. As of 2024, the population aged 60 and above has exceeded 300 million, with internet penetration reaching 78.0%. However, 62.0% of non-internet users are elderly individuals. The intertwined digital divide and language barriers have become core bottlenecks constraining the social integration of elderly groups. Language, as the most important communication tool and information carrier for humanity, serves as a crucial bridge for elderly people to connect with the world and integrate into society. Faced with the physiological degradation of elderly language abilities and the rapid development of artificial intelligence technology, constructing an AI-enabled elderly language service system has become a critical issue in the national strategy for actively responding to population aging. Based on the technological transformation background of the AI era, this study systematically analyzes the theoretical foundations and practical needs of elderly language services, constructs a "technology-data-service" three-dimensional empowerment framework, and proposes a precision model and construction path for AI-enabled elderly language services. The findings reveal: First, elderly language services possess multiple attributes including language welfare, language rights, and social assistance, requiring a content system constructed from three dimensions: supporting elderly care, ensuring medical access, and promoting social participation. Second, AI technologies provide novel solutions for elderly language services. Third, text analysis of 144 elderly-related policies indicates insufficient support from China's policy system for AI-enabled elderly language services, with problems including missing specialized planning and weak standard constraints. Fourth, empirical studies using government portals and mobile applications as cases demonstrate that current aging-friendly transformations face "superficial" and "homogenized" dilemmas. Fifth, a precision model for AI-enabled elderly language services is constructed, comprising three types of subjects, two major elements, and four-stage management processes, with systematic construction proposals from five dimensions: institution, resources, products, technology, and ecology. This study represents the first systematic exploration of the theoretical framework and practical paths for AI-enabled elderly language services, offering important reference value for promoting intelligent upgrading of elderly language services and facilitating digital integration of elderly groups.
Yurong Liu (Sun,) studied this question.