What generative AI is, which Drexel tools to use, and how to prompt for useful results
How large language models work, what they are good at, and where they go wrong.
Tools like ChatGPT and Copilot are large language models: they predict likely text from patterns in huge amounts of writing. They are strong at drafting, summarizing, rewriting, explaining, and brainstorming.
How AI fails, and who is accountable — the thread that runs through every workshop.
Models predict plausible text, so they can invent facts, statistics, and citations that look right and are wrong.
Models learn from internet-scale data that carries society’s inequities, so outputs can reflect and amplify stereotypes.
The person who acts on AI output owns the result — not the tool, not the vendor. AI drafts; a human verifies and decides.
A widely used US healthcare algorithm used past healthcare cost as a proxy for health need. Because less had historically been spent on Black patients, it rated them as healthier than equally sick White patients (Obermeyer et al., 2019).
Sign in, run your first prompts, and learn a simple recipe for better results.
Sign in to ChatGPT Edu with your Drexel account. Use public or made-up details only — no sensitive data. Run each prompt and notice what it does well.
A little structure turns a generic answer into a usable one. Build your prompt from four parts:
AI is a drafting and thinking assistant — you verify and decide.
Next: Workshop 2 — Workflow Enhancement. Use Copilot and ChatGPT Edu to speed up the work you already do.