Author(s)

Julian Long Huo Sant

Corresponding Author

Julian Long Huo Sant

Abstract

In the digital era, AI social tools, relying on algorithm recommendation technology, provide personalised social experiences for different age groups. However, with their wide application, the humanistic and ethical risks caused by algorithm recommendation have gradually emerged, and the impacts on different age groups also vary. Against this background, it is of great practical significance to carry out research on the humanistic and ethical risks of algorithm recommendation of AI social tools and the user trust mechanism from the perspective of different age groups. This study first analyses the usage characteristics of AI social tools among adolescents, young and middle-aged adults, and the elderly, and elaborates the basic principles of algorithm recommendation and its strategic differences for different groups, supplemented by application case analysis. Then, it discusses in detail the humanistic and ethical risks faced by each age group in algorithm recommendation. Finally, it analyses the factors influencing user trust among different age groups, and puts forward strategies and practical suggestions for constructing user trust mechanisms. The research helps to gain a deeper understanding of the impact of algorithm recommendation of AI social tools on different age groups, and provides theoretical support and practical guidance for reducing ethical risks and enhancing user trust.

Keywords

AI Social Tools; Algorithm Recommendation; Humanistic and Ethical Risks; User Trust Mechanism