Modeling Gender Bias in Eastern and Western Artificial Intelligence from a Cross-Cultural Perspective

Focusing on the trend of Artificial intelligence (AI) algorithms in industry decision-making, this article explores the influence of algorithmic recommendation principles and designer values on the formation of gender bias. Comprehensively comparing the cultural differences between the East and the West, we establish a circular model of culture-technology-society interaction to reveal the causes of AI gender bias. The study aims to promote the harmony between technological development and human values, and to promote the optimal development of AI systems.