Navigating Ethical Dilemmas in AI-Enhanced Language Education: Addressing Bias and Ensuring Inclusivity

Purpose: This study investigates the ethical, practical, and educational implications of integrating artificial intelligence (AI) into language education. The focus is on identifying the challenges of algorithmic bias, data privacy, inclusivity, and the impact on teacher-student dynamics, aiming to
provide insights that can guide the responsible and effective use of AI in education. Findings: The research reveals that algorithmic bias poses a significant threat to educational equity, potentially perpetuating existing inequalities. Data privacy concerns are prevalent, necessitating strict regulatory measures. Inclusivity remains a challenge, with AI risks widening
the educational gap between socio-economic groups. Additionally, the study highlights the potential erosion of the teacher-student relationship due to over-reliance on AI, which could undermine the human elements crucial to the learning process. Design/Methodology/Approach: The study employs a qualitative research methodology, utilizing thematic analysis to explore literature, case studies, and expert interviews. This approach allows for an in-depth understanding of the multifaceted issues surrounding AI in language education and provides a nuanced perspective on its implications.
Originality/Value: This research contributes to the emerging discourse on AI in education by addressing the often-overlooked ethical and social dimensions. It offers a unique perspective by examining the intersection of AI with cultural and socio-economic factors, providing valuable insights for educators, policymakers, and AI developers.

研究目的：本项研究旨在探讨人工智能（AI）融入语言教育领域的伦理、实践及教育意义。研究重点在于识别算法偏见、数据隐私、包容性以及对学生-教师关系的影响，以期提供指导，促进人工智能在教育领域的负责任与有效应用。研究结论：研究发现，算法偏见对教育公平构成重大威胁，可能加剧现有不平等。数据隐私问题普遍存在，亟需严格的监管措施。包容性仍然是一大挑战，人工智能风险正在扩大社会经济群体间的教育差距。此外，研究还指出，过度依赖人工智能可能导致师生关系的弱化，从而损害学习过程中至关重要的要素。研究设计/方法论/方法：本研究采用定性研究方法，运用主题分析来探讨文献、案例研究和专家访谈。这种方法有助于深入理解语言教育中围绕人工智能的多方面问题，并提供了对其影响的细致视角。原创性/价值：本研究通过关注常被忽视的伦理和社会维度，为关于人工智能在教育领域的讨论做出了贡献。它通过考察人工智能与文化及社会经济因素的交汇，提供了独特的视角，为教育工作者、政策制定者和人工智能开发者提供了宝贵的见解。