GenAI as Digital Plastic: Understanding Synthetic Media Through Critical AI Literacy

2025-02-12

AI Summary

Generative AI (GenAI) lowers creative barriers yet exacerbates digital pollution, bias propagation, and algorithmic homogenization—posing systemic ecological risks to the digital commons. Method: Drawing on the novel metaphor of “digital plastic”—analogizing GenAI’s dual-edged impact to physical plastic’s environmental persistence—the study integrates Multiliteracies theory and Conceptual Metaphor Theory (CMT) to develop a Critical AI Literacy (CAIL) framework tailored for educational contexts. It validates the framework through interdisciplinary qualitative analysis and critical evaluation of educational technologies. Contribution/Results: The work establishes CAIL as a theoretically necessary core competency in the digital age, articulating its conceptual foundations, pedagogical dimensions, and socio-technical implications. It provides a transferable theoretical pathway and actionable guidelines for equitably cultivating critical AI capabilities across diverse cultural, linguistic, and resource-constrained educational settings.

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Humans and AI: AI for Accessibility
• Cognitive Modeling & Cognitive Systems: Computational Creativity

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content

Abstract

This paper introduces the conceptual metaphor of 'digital plastic' as a framework for understanding the implications of Generative Artificial Intelligence (GenAI) content through a multiliteracies lens, drawing parallels with the properties of physical plastic. Similar to its physical counterpart, GenAI content offers possibilities for content creation and accessibility while potentially contributing to digital pollution and ecosystem degradation. Drawing on multiliteracies theory and Conceptual Metaphor Theory, we argue that Critical Artificial Intelligence Literacy (CAIL) must be integrated into educational frameworks to help learners navigate this synthetic media landscape. We examine how GenAI can simultaneously lower the barriers to creative and academic production while threatening to degrade digital ecosystems through misinformation, bias, and algorithmic homogenization. The digital plastic metaphor provides a theoretical foundation for understanding both the affordances and challenges of GenAI, particularly in educational contexts, where issues of equity and access remain paramount. Our analysis concludes that cultivating CAIL through a multiliteracies lens is vital for ensuring the equitable development of critical competencies across geographical and cultural contexts, especially for those disproportionately vulnerable to GenAI's increasingly disruptive effects worldwide.

Problem

• Understanding GenAI as digital pollution
• Integrating CAIL into educational frameworks
• Navigating synthetic media's risks and benefits

Innovation

• Digital plastic metaphor
• Critical AI Literacy integration
• Multiliteracies theory application