LatIA, Journal Year: 2025, Volume and Issue: 3, P. 328 - 328
Published: March 29, 2025
Artificial intelligence (AI) has revolutionized language learning by enabling personalized and adaptive education; however, these advancements also raise ethical privacy concerns, including algorithmic bias, data security risks, a lack of transparency in AI-driven decision-making. This study examines challenges, focusing on fairness, linguistic diversity, the balance between automated human instruction, with goal proposing guidelines for responsible adoption AI education. Through literature review comparative analysis, risks AI-powered tools were explored, assessing bias detection algorithms, frameworks, privacy-preserving techniques to identify best practices. The findings indicate that tend exhibit biases disadvantage underrepresented groups, raising concerns about fairness while exposing due inadequate measures. Implementing frameworks incorporate fairness-aware explainable models, robust protection mechanisms enhances user trust security. Therefore, addressing issues is essential ensuring integration education, where hybrid approach combining instruction emerges as most solution. Lastly, future research should focus regulatory compliance models strengthen ethics
Language: Английский