Ethical AI for Teaching and Learning

Summary: The article underscores the importance of understanding and critically evaluating generative Artificial Intelligence tools in education, considering ethical implications and potential biases. It addresses key issues such as transparency, political impact, environmental impact, diversity, and privacy concerns related to AI use. The focus is on promoting ethical and responsible AI practices in the classroom, emphasizing the impact on different student populations and highlighting the potential biases in large language models. The article suggests questions for instructors and students to assess the accuracy and ethical considerations of AI-generated content. Additionally, it emphasizes the need for transparency and flexibility in assignments to accommodate potential limitations and options. Privacy concerns related to AI, including data storage and usage, are also discussed, urging caution in sharing sensitive information.

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