The humanities are undergoing a significant transformation due to the growing integration of technologies such as artificial intelligence (AI) and neural networks. Traditionally, humanities education emphasized critical thinking, cultural inquiry, and ethical exploration through interactive methods like text analysis and group discussions. However, the rise of AI has shifted the focus toward personalized, automated learning, challenging long-established pedagogical practices that once encouraged diverse perspectives and deep engagement. This article explores how neural networks and AI are reshaping humanistic learning methods. While these technological advancements offer the potential to enhance self-directed learning, they also introduce unpredictability, raising concerns about the balance between human-centered education and technological efficiency. Ethical dilemmas, such as data privacy and the possible erosion of the human touch in education, further complicate this integration. As AI becomes increasingly intertwined with tailored educational approaches, a deliberate and critical reevaluation of teaching strategies is required to preserve the core values of humanities education amidst this technological evolution.