In the fourth technological revolution driven by artificial intelligence, intelligent advertising relies on technologies such as programmatic purchasing, RTB bidding, cloud computing, and deep learning to achieve intelligent upgrading of the entire industry chain. However, this has led to the dilemma of "transparent people" caused by illegal data collection and abuse. There are three major limitations in existing research: a lack of systematic theoretical construction, micro level privacy research, and a single governance path. This study focuses on the security challenges and multilateral collaborative governance of intelligent advertising algorithm traps. Content analysis is used to analyze corporate privacy policies, and user privacy attitudes are deeply described through focus group interviews. Multi subject dynamic analysis is conducted based on privacy relationship theory and contextual integrity theory. Research has found that under the paradigm shift of technology, advertising privacy presents new characteristics such as infringement of personal dignity, weakening of subjectivity, and plundering of free will; The contradiction between enterprises and users focuses on conflicts between subjectivity and data centralization, intelligent marketing and privacy protection, attitudes and behaviors, etc; The root cause lies in the empowerment of technology, where enterprises become holders of big data power and users become "digital laborers", with lagging institutional supervision and the existence of subjective destruction and "privacy cynicism" among users. The research proposes a three-dimensional solution path of power balance (with public power constraints as the main focus and industry self-discipline as a supplement), spatial reconstruction (supported by technologies such as federated learning, dynamic protection framework for enterprises, and improvement of user literacy), and ethical export (technical ethical guarantee operation framework, return to humanism). There are shortcomings in the research, such as insufficient practical insights, lack of theoretical models, and sample limitations. In the future, it is necessary to expand the scope of privacy ethics relationships and construct a theoretical framework

Jing Zheng. Research on Security Challenges of Intelligent Advertising Algorithm Traps and Multilateral Collaborative Governance Approaches. Machine Learning Theory and Practice (2025), Vol. 5, Issue 1: 149-159. https://doi.org/10.38007/ML.2025.050116.

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