Directions of Cartographies for Critical AI Literacy: Mapping AI Critical Consciousness

• In Event: AI Literacy in Education: Exploring Pedagogical Approaches, Ethical Considerations, and Diverse Student Perspectives

Abstract

This study provides a theoretical and practical framework to illustrate critical AI consciousness development. The study was conducted within a newly designed course titled "Artificial Intelligence in Education" and explores the concept of discursive closure, which limits educators' critical engagement by promoting deterministic views of AI. In this article, we describe a framework, Directions of Cartographies for Critical AI Literacy, that maps how educators navigate the complexities of AI integration: Passive Critical AI Literacy, Inaction of Critical AI Literacy, Emerging Critical AI Literacy, and Critical AI Reflection. The framework illustrates the tensions between individual and collective perspectives and between agentive and reactive behaviors amongst people and AI.

Authors

• Ricardo Martinez, Pennsylvania State University

• Ezequiel Aleman, Universidad Tecnológica del Uruguay