Google Gemini

Google Gemini is now available to the Columbia University community. This service provides access to Google’s most advanced AI models in a secure, education-focused environment. Gemini supports multimodal capabilities—working with text, images, and code—so you can handle diverse academic and research tasks in one place.

Key Features:

  • Advanced reasoning and problem-solving tools
  • Real-time web search integration through Google Search
  • Coding, data analysis, and visualization capabilities
  • Context-aware image generation and interpretation

Learn More

Explore Google’s official Generative AI training & help overview to see features, use cases, and getting-started guides tailored for academic users. Gemini is an AI-powered assistant from Google with enterprise-grade security and privacy. Use Gemini to help you write, visualize, organize, and connect with colleagues. 

  • Operates within an environment approved for use at Columbia University
  • Conversations and uploaded files are processed in a secure, privacy-focused setting
  • Data is not used to train Google’s models.
  • Gemini is NOT approved for use with Sensitive Data as defined in the  Columbia University Data Classification Policy. For users at CUIMC, please refer to the AI and Generative Technology Use at CUIMC page for additional information regarding AI tools approved for use with Sensitive Data.
  • Simple, intuitive interface for quick adoption
  • Works with text, images, and code in the same session
  • Supports multiple file uploads and cross-referencing in real time

Related Information

Generative AI Training & Help
Gemini for Google Workspace

Office Hours

Office hours will be taking a break for the summer. Office hours will resume in September of 2026.

 

AI Consultation

We offer consultations to help you understand how Gemini can support your specific needs.

Consultations can cover:

  • Teaching and learning use cases
  • Research workflows
  • Administrative and operational tasks
  • Data sensitivity and compliance considerations

Request a consultation at: [email protected].

Training Videos

Guidelines for Using Google Gemini for Education at Columbia University

Google Gemini is an advanced generative AI tool available for faculty and staff, at Columbia University. To ensure responsible and effective use of this technology, these guidelines provide best practices and ethical considerations. Please also refer to Columbia's comprehensive Generative AI Guidelines for more detailed policies regarding the use of AI across the university.

1. General Usage Guidelines

  • Use Gemini responsibly and verify outputs
  • Do not rely on AI-generated content without review
  • Follow all university data protection and intellectual property policies
     

2. Data and Privacy

Gemini does not train on your data.
All conversations are encrypted and protected.

Guidelines for handling sensitive data

  • Share only the minimum necessary data
  • Remove direct identifiers when possible
  • Follow Columbia’s Data Classification Policy

3. Academic Integrity and Plagiarism

  • Do not use Gemini to bypass academic integrity standards
  • Avoid submitting AI-generated work as original work
  • Cite AI assistance when appropriate
     

4. Ethical Use and Limitations

  • AI outputs may contain errors or bias
  • Review and validate results
  • Use trusted sources to confirm critical information

Google for Education Comparison

FAQs

All conversations in Google Gemini are encrypted in transit using TLS 1.2 or higher and at rest using AES 256 encryption. Google or any third party will not have access to conversations or data uploaded to Google Gemini.

Yes. Google Gemini can work across these formats seamlessly.

Yes. It includes real-time web browsing via Google Search.

Yes. You can upload multiple supported file types and reference them together.

No. Data in Google Gemini is not used for training.