AI as a Technology Bridge for Families: Practical Pathways and Challenges

Abstract

Traditional AI focused on embedding human thinking to achieve intelligence, while modern AI prioritizes acquiring knowledge from data and making independent judgments. It processes data from daily life and generates outputs to realize intelligent applications. Currently, with the national policy promoting the Internet of Everything and fostering an intelligent product ecosystem, household AI has already occupied a partial position in families and brought significant convenience. This paper explores the specific paths such as technology implementation, product ecosystem construction, and user adaptation, supplemented by specific cases. Additionally, the paper analyzes potential challenges including intergenerational cognitive differences, data privacy risks, economic inequality, and dependence issues. The research aims to provide reference for accelerating the practical implementation of household AI and balancing technological development with risk mitigation.