In the realm of artificial intelligence (AI) translation, concerns regarding gender bias have gained prominence, warranting thorough investigation. This research endeavors to scrutinize the translations of marriage-related texts in AI’s English-Chinese translation through the lens of gender. Drawing inspiration from Simone de Beauvoir’s seminal work The Second Sex, which delves into the...
AI Generated Imagery (AIGI) produces racially biased images and the implications of such biases are problematic because proliferation of such imagery can amplify stereotypes. However, little research has been done into if L2 students are able to identify and articulate about these biases. Furthermore, because current AIGA is text based, there is a crucial language component that can be...
Generative AI can be intimidating for students and instructors, but with some guidance and practice, it can become a valuable (and even fun) tool. Ideally, it will provide a wider range of easy-to-understand information and give suggestions to learners who may not know where to begin. Being a new technology, there are still many who are reluctant to use it. In addition, perhaps the challenging...
This presentation offers a comprehensive view of our experiences with AI integration in university language teaching, our strategic approach, and envisioned developments in competency-based language education, primarily focusing on STEM and Management students at the Language Center of the Technical University of Munich, Germany.
Our AI integration approach prioritizes preparing students...
