Helping Students Check for Bias in AI Outputs
Students ask probing questions of AI outputs to test their validity and reliability.
Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
Students ask probing questions of AI outputs to test their validity and reliability.
Students conduct a rhetorical analysis of the outputs generated by ChatGPT, critically evaluating the AI’s responses and the effectiveness of their own writing in eliciting meaningful and accurate information.
Students critically evaluate the claims made by AI-generated text, distinguishing between accurate information and exaggerated hype.
This workshop teaches participants how to recognize and mitigate biases in AI algorithms and data, ensuring fairness in AI systems by addressing issues such as demographic parity and equal opportunity.
Through six templated lesson plans, this resource covers information literacy and visual literacy. The assignment provides a structured framework for understanding and applying ethical principles in AI usage.
The activity addresses biases in facial recognition, particularly how it fails more often on women and people with darker skin. It also discusses the ethical implications and legal responses to surveillance technology, fostering critical thinking and informed discussions among students.
Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.
Students craft a detailed rebuttal to the AI-generated argument, focusing on different aspects such as the scope, conclusions, and missing evidence.
Students generate predictions using ChatGPT and critically assess the output. The assignment emphasizes an analytical approach to evaluating hypothetical scenarios generated by ChatGPT. Students must go beyond simple fact-checking and use reasoned analysis to diagnose the plausibility of the predictions.
Students verify the existence of quoted sources provided by ChatGPT, using the institution’s library website. This activity ensures that students learn to critically assess AI-generated content and confirm its authenticity.
The assignment examines the inherent weaknesses of large language models (LLMs) like ChatGPT, emphasizing the importance of not relying on them unquestioningly. It highlights how these models mimic speech without true understanding and can produce convincingly false information.
Students compare AI-generated responses to human-written responses, examining differences in style, clarity, and effectiveness.
Students use AI tools to better comprehend and analyze complex texts, asking AI questions about the texts to deepen their understanding and engagement. Students use AI as a collaborative tool to enhance their own writing process while ensuring their original contribution remains substantial.