Educating for the Algorithmic Age: Mapping AI Literacy

AI technologies are increasingly embedded in the social, educational, and economic dimensions of daily life, prompting a growing recognition of the need for widespread AI literacy. This study conducts a systematic scoping review to synthesize current conceptualizations, educational implementations, and assessment strategies of AI literacy across diverse learning environments. Following PRISMA-ScR guidelines, 47 peer-reviewed studies published between 2019 and 2024 were analyzed to identify key dimensions of AI literacy and their alignment with broader pedagogical goals. The review reveals that AI literacy encompasses more than technical competencies; it includes ethical reasoning, critical thinking, and socio-cultural awareness, yet remains inconsistently defined and unevenly implemented across educational settings. Using a six-construct taxonomy and triangulation with prominent frameworks, the study identifies significant disparities in curricular integration, educator preparedness, and access to validated assessment tools. These findings underscore the urgent need for coherent, inclusive, and interdisciplinary approaches to AI literacy education. The study contributes to the field by mapping its current landscape, exposing conceptual and practical gaps, and offering direction for future research, curriculum development, and policy formation aimed at fostering equitable and critical engagement with AI systems.