Abstract

As artificial intelligence (AI) increasingly permeates various sectors of society, AI literacy in STEM education has become critical for preparing a future workforce to thrive in a technology-driven landscape. This paper explores the current state of AI literacy within educational policies and curricula, identifying strengths and weaknesses in existing frameworks. It further examines the barriers to the effective implementation of AI education, including resource limitations, teacher training gaps, and curriculum rigidity. The paper proposes innovative policy strategies to enhance AI literacy, emphasizing interdisciplinary curriculum development, comprehensive teacher training, and collaborative partnerships with industry stakeholders. The paper highlights effective models for integrating AI literacy in STEM education by analyzing successful case studies and best practices. The conclusions drawn from this analysis inform actionable recommendations for policymakers, educators, and stakeholders to foster equitable and inclusive AI education. Future research directions are suggested to ensure the continued advancement of AI literacy in educational settings, ultimately preparing students for the complexities of the modern workforce.