AI Tools

Enhance your teaching with this curated collection of generative AI tools.

Browse the Available AI Tools at MIT Sloan

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.

ChatGPT

OpenAI’s advanced language model for natural conversations and content generation.

Stack AI

A platform for creating AI workflows by combining large language models with custom data and tools—no coding required.

Parley

MIT’s secure AI platform for experimenting with multiple generative AI models and built-in tools in a single interface.

Microsoft Copilot Chat

An AI-powered chat assistant for creating content, analyzing data, summarizing information, and boosting productivity.

Adobe Creative Cloud

Creative suite with AI-powered tools for design and content creation.

When to Use Each Tool

Tool Ideal Use Key Use Cases
Adobe Creative Cloud Visual and multimedia content creation for professionals
  • Graphic design and branding
  • Video editing and lecture production
  • UI/UX prototyping
  • Professional PDF handling
ChatGPT Conversational AI for creative and analytical tasks
  • General Q&A, tutoring, and brainstorming
  • Creative writing (essays, stories, emails)
  • Technical explanations and code debugging
  • Case studies and educational support
Microsoft Copilot Chat Web-based AI assistant for content creation, data analysis, and summarization
  • Generate content and draft communications
  • Analyze data and provide explanations
  • Summarize documents, articles, and notes
Parley Secure, MIT-hosted access to multiple AI models for academic and administrative use
  • Explore different generative AI models
  • Upload files, generate images, and run code
  • Work in an MIT-managed environment
  • Use AI tools that align with MIT information security policies
Stack AI No-code platform to automate structured AI workflows
  • Create custom chatbots trained on specific materials
  • Automate workflows using a drag-and-drop interface
  • Batch process surveys or documents

Explore More

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. 

AI
August 15, 2025

Simulated Personas, Real Insights: An MIT Sloan Student’s Perspective on AI for User Research

Simulated customer interviews gave me a week’s worth of research insights—but they also forced me to confront AI’s blind spots, including bias, hallucinations and the limits of synthetic data.Simulated interviews…
Sneha Sathish Kumar
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AICanvas
May 14, 2025

The AI-Ready Canvas Course: Six Steps to Future-Proof Your Teaching

AI capabilities are rapidly becoming ubiquitous in educational technology. Soon, you'll be hard-pressed to find learning tools that don't incorporate some form of AI, no matter where you stand on…
Shallon Silvestrone
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AI
March 26, 2025

Deep Research: Transforming the Creation of Learning Materials with Research-Backed AI

In an era when data is abundant and time is at a premium, innovative tools like Deep Research are reshaping how we approach complex analysis and content creation.In February 2025,…
Eric So
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