Enhance your teaching with this curated collection of generative AI tools.
Explore a set of AI tools curated for the MIT Sloan community. These tools range across teaching, research, and productivity and support a range of use cases, from generating content and analyzing data to automating workflows and creating media.
We recommend starting with one tool based on your task or workflow, then exploring more advanced features and integrations as needed. Responsible use and critical evaluation remain essential as you incorporate AI into your academic work.
You can find the complete list of MIT-supported AI tools on IS&T’s AI Tools page.
Tool
Description
Available To
Key Use Cases
Adobe Creative Cloud
Creative suite with AI-powered tools for design and content creation.
MIT faculty, staff, students
ChatGPT
OpenAI’s advanced language model for natural conversations and content generation.
MIT faculty members for academic and research use
Google NotebookLM
AI-powered research assistant that grounds responses in your uploaded documents and sources.
MIT faculty, staff, students
Microsoft Copilot Chat
An AI-powered chat assistant for creating content, analyzing data, summarizing information, and boosting productivity.
MIT faculty, staff, students
Parley
MIT’s secure AI platform for experimenting with multiple generative AI models and built-in tools in a single interface.
MIT faculty, staff, students
Parley API (coming soon)
Programmatic access for connecting your coding assistant or IDE directly to the Parley endpoint using your API key.
MIT faculty, staff, students
Stack AI
A platform for creating AI workflows by combining large language models with custom data and tools—no coding required.
MIT Sloan faculty, staff, students
Want to see how others are using AI tools in real-world teaching, research, and productivity? Browse these blog posts for practical examples, tips, and inspiration from the MIT Sloan community and beyond.
