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.

Tool Description Available To Key Use Cases
Adobe Creative Cloud A suite of creative applications with AI-powered features for creating and editing digital content. MIT faculty, staff, students
  • Graphic design and branding
  • Video editing and lecture production
  • UI/UX prototyping
  • Professional PDF handling
ChatGPT Enterprise OpenAI’s advanced language model for natural conversations and content generation. MIT faculty members for academic and research use
  • General Q&A, tutoring, and brainstorming
  • Creative writing (essays, stories, emails)
  • Technical explanations and code debugging
  • Case studies and educational support
Google AI Studio Google’s browser-based environment for experimenting with Gemini models. MIT faculty, staff, students upon request
  • Experiment with Gemini models and capabilities
  • Test and refine prompts
  • Generate and edit text, images, video, and audio
  • Prototype chatbots, agents, and AI-powered applications
  • Explore real-time voice and video interactions
  • Test and develop with the Gemini API
Google Gemini Google’s multimodal AI model for natural conversations, content generation, and information analysis. MIT faculty, staff, students
  • Generate and revise content
  • Summarize documents and information
  • Brainstorm ideas and explore topics
  • Ask questions and get explanations
Google Gemini Notebook Google's AI-powered research assistant that grounds responses in your uploaded documents and sources. MIT faculty, staff, students
  • Summarize uploaded documents and notes
  • Compare themes across multiple sources
  • Generate study guides, FAQs, and briefing materials
  • Ask questions grounded in specific course or research materials
Microsoft Copilot Chat Microsoft’s AI assistant for generating content, analyzing information, summarizing documents, and supporting everyday productivity tasks. MIT faculty, staff, students
  • Generate content and draft communications
  • Analyze data and provide explanations
  • Summarize documents, articles, and notes
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
  • 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
Parley API Programmatic access for connecting your coding assistant or IDE directly to the Parley endpoint using your API key. MIT faculty, staff, students
  • Connect a coding assistant or IDE to Parley
  • Experiment with model-assisted development
  • Build and test AI-enabled workflows
  • Use an MIT-managed endpoint for pilot-based development
Stack AI No-code platform for building AI-powered workflows using large language models, custom data, and other tools. MIT Sloan faculty, staff, students
  • 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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