Microsoft Copilot Overview

This article briefly covers Microsoft Copilot tools, the difference in versions, purchasing licenses, and helpful resources. 

Copilot Versions

Copilot is consumer oriented.  Your prompt and data will be used to train the large model.  Dartmouth data should not be used with this version of Copilot.

Copilot with commercial data protection is a more secure alternative and a great first step to bring generative AI to work.  Copilot uses the latest AI models like GPT-4 and DALL-E 3, and answers are based on today’s information with sources for where the content is coming from.  Your prompt and data do not inform/train the model.  You can use Dartmouth data with this version.  It is available at no additional cost for all Dartmouth users with an active Office license.

  • Built on Microsoft’s comprehensive approach to enterprise-grade security, privacy, identity, compliance, and responsible AI. This means Copilot inherits your existing Microsoft 365 security, privacy, identity, and compliance policies. Your data is logically isolated and protected within your Microsoft 365 tenant, and always within your control. At the tenant level, Copilot respects individual and group permission policies.
  • Copilot for Microsoft 365 licenses can be purchased through the Dartmouth Computer Store.  It is a yearly, perpetual license (prorated). For more information on purchasing a license, please visit the Computer Store's Request Software Licenses page. 

Helpful Resources

Copilot Lab - Provides information about the features, benefits, and use cases of the Copilot tools. It also includes details on how to get started, tutorials, and frequently asked questions to help users understand and make the most of Copilot’s capabilities.

Microsoft's Copilot Learning Path - Explore the Copilot experiences available in many Microsoft products and build your own experiences.

Microsoft Copilot resources for education - Copilot can save time for educators, staff, and higher education students to focus on what matters most. ​

Data, Privacy, and Security - Article that discusses data privacy and how it is used. 

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Details

Article ID: 158617
Created
Wed 4/24/24 9:21 AM
Modified
Wed 5/15/24 4:28 PM

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