Integrating artificial intelligence (AI) in computer-assisted language learning (CALL) has revolutionized language education. However, the rapid advancement of AI also raises significant safety concerns that must be addressed to ensure responsible and ethical use. This entry explores key AI safety challenges in CALL, including robustness, assurance, and specification. It discusses strategies for addressing these challenges, such as rigorous testing, continuous improvement, responsible deployment practices, content moderation, data privacy protection, and fact-checking. It also emphasizes the importance of ongoing research, stakeholder collaboration, and standardized guidelines to harness AI’s potential while mitigating risks and promoting learners’ well-being in CALL.

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AI Safety in Computer-Assisted Language Learning

  • Lucas Kohnke

摘要

Integrating artificial intelligence (AI) in computer-assisted language learning (CALL) has revolutionized language education. However, the rapid advancement of AI also raises significant safety concerns that must be addressed to ensure responsible and ethical use. This entry explores key AI safety challenges in CALL, including robustness, assurance, and specification. It discusses strategies for addressing these challenges, such as rigorous testing, continuous improvement, responsible deployment practices, content moderation, data privacy protection, and fact-checking. It also emphasizes the importance of ongoing research, stakeholder collaboration, and standardized guidelines to harness AI’s potential while mitigating risks and promoting learners’ well-being in CALL.