In the era of the intelligent revolution, algorithms have deeply permeated multiple fields. The optimization of their services and efficiency is prone to leading to hazards such as information cocoons and privacy leaks. Therefore, from the perspectives of axiology, social philosophy, and epistemology, this study aims to reconcile algorithm value conflicts, safeguard human subjectivity, compensate for the cognitive limitations of algorithms, and prevent algorithms from deviating from their original intention of serving humanity. In practice, this study constructs a value-embedded algorithm design mechanism to ensure algorithms align with humanistic values, promotes the balance between interpretability and cognitive transparency to bridge the cognitive gap between humans and machines, and establishes a multi-stakeholder governance system to promote governance justice. The three paths can prevent the alienation of algorithms, ensure that algorithms serve humanity, and provide support for the healthy development of algorithms in the intelligent revolution.
Zhang Yupei (Wed,) studied this question.