Map How Generative AI Is Used Across The Institute.
Record the AI tools you use or want to use, plus detailed current or future AI use cases involving students, coding, or systems containing AI.
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AI for my work efficiency
A quick inventory of the AI tools you use now or want to use for institute work, including work areas, frequency, data sensitivity, and costs.
Select tools such as ChatGPT, Claude, Gemini, or Microsoft Copilot, then add details only for the tools relevant to you.
Your students use AI
Use cases where students are expected, encouraged, enabled, or required to use AI as part of a course, exercise, exam, thesis, project, or other learning activity.
Examples: students using AI tools, API keys, or credits for course assignments, theses, chatbots, data analysis, image/audio workflows, prototypes, or AI-supported project work.
You coding with AI
Use of generative AI specifically for software development or technical coding tasks, kept separate from general work use because coding tools and workflows need more specific detail.
Examples: using Codex, Claude Code, GitHub Copilot, Cursor, Gemini, or similar tools for writing code, debugging, refactoring, tests, scripts, notebooks, reviews, or technical documentation.
You build systems containing AI
Work where generative AI is part of a system, demonstrator, product, research prototype, robot, avatar, service, or study object rather than only a personal productivity tool.
Examples: building or evaluating conversational agents, AI-supported robots, virtual avatars, decision-support tools, multimodal demonstrators, research prototypes, or AI-enabled services.