This assignment, by Anuj Gupta, is from the TextGenEd January 2024 Continuing Experiments collection in the WAC Clearinghouse Repository.
The abstract from the site explains:
In this assignment, students critically tackle the biases exhibited by large language models (LLMs) like ChatGPT against world Englishes and other marginalized language varieties by using prompt engineering as a means to reprogram these biases for more equitable AI outputs. This assignment, originally developed for my ENGL 430: UX Research Methods class, introduces students to ChatGPT prompts as a digital genre and presents prompt engineering as a critical making activity through which they can iteratively design prototypes of innovative chatbots to tackle social problems they see in generative AI tools. This assignment resulted in innovative designs and thoughtful reflections on AI, language, and ethics.
Key Features of This Assignment
- Critical Prompt Writing
- This assignment emphasizes critical writing of generative AI prompts, helping students to develop and refine their skills in crafting effective and precise instructions for AI systems.
- Prototype Development
- Students engage in the hands-on development of chatbot prototypes, applying their prompt writing skills to create functional and responsive AI applications.
- Multilingual and Cross-Cultural Considerations
- The assignment includes writing prompts that account for multilingual and cross-cultural contexts, encouraging students to think critically about language use and cultural sensitivity in AI communication.
Find the full version of this resource at the WAC Clearinghouse.