This assignment, by Christopher D. Jimenez, is from the TextGenEd collection in the WAC Clearinghouse Repository.
The abstract from the site explains:
This interactive survey assignment prompts upper-level humanities students to reflect on their social and cultural identities in relation to the textual inputs & outputs of large language models, such as ChatGPT. Successful implementation of the assignment can improve student understanding of the relationship between textual meaning and personal identity as well as the ways in which AI text-generation models may reproduce biases in response to prompt design and a given method of data curation.
Key Features of This Assignment
- Interactive Survey and AI Analysis
- Students participate in an interactive survey that prompts them to reflect on their personal histories and preferences. These responses are then analyzed using AI text generation models to explore how AI interprets and predicts social identities, highlighting the biases and assumptions inherent in AI technology.
- Critical Reflection on Identity and Bias
- The assignment encourages students to critically reflect on how AI-generated outputs relate to their own social and cultural identities. This reflection helps students understand the ethical implications of AI, particularly in terms of cultural bias and the impact of AI on societal perceptions of identity.
- Engagement with Literary Texts
- Students engage with literary texts that explore the performance of identity, including aspects of race, gender, and technology. This engagement allows students to draw connections between their own experiences, the AI-generated outputs, and broader cultural narratives, fostering a deeper understanding of the intersection between technology and literature.
Find the full version of this assignment at the WAC Clearinghouse.