Ethical Frontiers of AI in Language Pedagogy: Navigating Transparency, Accountability, and Equity

Abstract

The rapid integration of artificial intelligence (AI) into language education presents complex ethical challenges that demand critical examination. One way to explore the multifaceted ethical implications of AI tools in language teaching and learning through the lens of transparency, accountability, and equity is by drawing upon the OECD principles for responsible AI implementation. The study investigates three primary ethical dimensions: transparency in AI tool usage, accountability for AI-mediated learning outcomes, and equity in access and implementation. Through a comprehensive review of current literature and practical implementations, the paper explores guidelines for ethical AI integration into language education that prioritize student learning while mitigating potential technological risks. Recommendations emerging from the analysis include emphasizing the need for transparent disclosure protocols, honing students’ awareness of AI capabilities and limitations, and establishing responsible accountability mechanisms. The research ultimately argues for a balanced approach that leverages AI's transformative potential while maintaining human-centered pedagogical principles, highlighting the critical role of ongoing evaluation and adaptive strategies in navigating the ethical frontiers of AI in language education.