Authorship and Generative AI for Technical Writing

Explore the intersection of technical writing and generative AI in this 41-minute video lecture by Prof. Ryan C. Cooper. Delve into two key reading assignments focusing on technical writing in the context of AI and audience analysis. Follow along as the instructor demonstrates prompt engineering techniques using ChatGPT to generate instructions for brushing teeth. Learn how to refine and edit AI-generated content, making it more specific and measurable. Gain insights into quantitative analysis methods, including term-frequency in-document-frequency and cosine similarity vector analysis, to evaluate document changes. Discuss the concept of authorship in the age of AI-assisted writing. Conclude with a practical demonstration of version control using Jupyter terminal, GitHub integration, and the application of the 'write-good' tool for identifying potential improvements in technical writing.

Authorship and Generative AI for technical writing