<p>Enhancing algorithmic transparency is a pivotal issue in the ethics of artificial intelligence. From a phenomenological perspective, algorithmic transparency comprises two dimensions: the openness and visibility of algorithmic systems and the subject’s cognitive engagement with understanding the operational logic and theoretical underpinnings of algorithms. Consequently, algorithmic transparency should be reframed as a cognitive issue, with education serving as the central pathway for enhancing cognitive capacity. Unlike traditional educational paradigms that prioritize knowledge transmission, phenomenological pedagogy emphasizes intuitive experience and cultivation of critical thinking, enabling learners to achieve deeper understanding and foster the construction of knowledge. This approach not only underscores the practical value of phenomenological pedagogy in advancing algorithmic transparency but also highlights that such transparency depends not merely on public disclosure of algorithmic information but on learners’ experiential intuition and reflective analysis. Compared to purely technical solutions, improving transparency through the enhancement of learners’ cognitive comprehension of algorithms offers distinct and transformative advantages.</p>