Collaborative Research with ChatGPT

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.

AI Literacy Workshop: Ethics and Social Justice

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.

AI & Facial Recognition

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.

Evaluate: Bias

Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.

Evaluate: Write a Rebuttal

Students craft a detailed rebuttal to the AI-generated argument, focusing on different aspects such as the scope, conclusions, and missing evidence.

Evaluate: ChatGPT’s Predictions and Extrapolations

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.

Evaluate: Hallucinated Sources

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.

Evaluate: Correctness

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.