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1EdTech TrustEd Apps Generative AI Data Rubric

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Technical Overview   |   Get Started   |   Get Involved   |   Support

 

 

1EdTech's TrustEd Apps Generative AI Data Rubric (Data Privacy section) is a self-assessment tool for suppliers. It was designed to be used as a model for growth with transparency and users' options in relation to the application of artificial intelligence (AI) in digital resources.

A group of 1EdTech supplier-member experts developed the Data Privacy section of the Generative AI Data Rubric. It incorporates the expertise and input from institutions and suppliers through meetings and asynchronous collaboration. 

This is an introductory project. 1EdTech is in the planning stages to develop a more comprehensive AI Data self-assessment instrument to assess the uses of data in AI beyond privacy, including data sources, data validity and bias, intellectual property, user prompt data, and other data concerns when AI is in use.

 

 

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The purpose of the TrustEd Apps Generative AI Data Rubric (Data Privacy section) is to:

  • Leverage expertise concerning artificial intelligence (AI) usage regarding data privacy across 1EdTech member organizations and individuals to protect Personally Identifiable Information (PII).
  • Provide a common framework for evaluating and discussing AI data practices. 
  • Provide a common framework for suppliers to self-assess their organization’s AI usage and use the results to evolve (or mature) data practices.
  • Provide a foundation concerning generative AI data privacy practices and associated documents, such as privacy policies, Terms of Service, and AI policies, or start the conversation about creating AI policies.

 

 


 

Technical Overview

Completing the TrustEd Apps Generative AI Data Rubric

Trusted Apps Generative AI Data Rubric

This rubric is a self-assessment tool for edtech suppliers developed by 1EdTech members. Currently, the rubric covers:

  1. Generative AI Data Privacy

Who Can Submit a Self-Assessment

Only 1EdTech member organizations can submit a self-assessment of their product. Assessments should be completed annually. Once published, self-assessments can be viewed by other members. The report will be viewable under the product’s entry in the TrustEd Apps Directory and the TrustEd Apps Management Suite (member login required).

How to Submit a Self-Assessment

From the member’s product page in the TrustEd Apps Directory:

  • Scroll down to the App Vetting Reviews section.
     
  • Click "Add AI Rubric."
    The specification document is linked at the top of the page for your reference. 
     
  • Enter your product information in the fields on the first tab.
     
  • Respond to the self-assessment questions on the additional tabs.
    It is strongly recommended to include notes and links as supporting evidence in the notes fields for the corresponding questions.  
     
  • Click the "Save" button at the bottom left-hand side of your screen to submit.
    The self-assessment must be completed in its entirety at once.
     
  • The completed rubric will be reviewed and published by 1EdTech.

 

 


 

 

Get Started

Start implementing 1EdTech's TrustEd Apps Generative AI Data Rubric using the materials below.

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Member Resources (Login Required)

 

Have Questions?

For additional information, our experts are here to help. 1EdTech members can contact support@1edtech.org.

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Find answers to common question in our FAQ

No, only 1EdTech members can complete a 1EdTechTrustEd Apps Generative AI Data Rubric Self Assessment. Submit an assessment for each product.

The 1EdTech TrustEd Apps Generative AI Data Rubric Self-Assessment is located on a 1EdTech supplier member’s product page, under the "App Vetting Reviews" section.

Products that are 1EdTech TrustEd Apps Generative AI Data Rubric Self-Assessed are visible in the TrustEd Apps Product Directory and TrustEd Apps Management Suite (TAMS) to all 1000+ member organizations.

1EdTech TrustEd Apps Generative AI Data Rubric is a public instrument, acknowledged and respected by the education industry. The tool is a supplier's self attestation of their Generative AI Data policies, features, and procedures.

Saves Time and Resources: 1EdTech Generative AI Data Self Assessment supports awareness of data concerns and transparency related to Generative AI Data features of edtech products. 1EdTech member institutions can use the supplier's self assessment as part of their review and requirements in RFPs, RFIs, and other procurement processes. This saves them time and resources.

Unbiased: 1EdTech is a knowledgeable and neutral organization. The rubric is an unbiased instrument.

How to Submit Your Self-Assessment
From the product page in the TrustEd Apps Directory, scroll down to the App Vetting Reviews section.

Click the button to "Add AI Rubric." Enter your product information in the fields on each tab. When you are done, hit the "Save" button at the bottom left-hand side to submit. The self-assessment must be completed in its entirety at once.

A group of 1EdTech supplier-member experts developed the Generative AI Data Rubric (Privacy Section).

This is an introductory project. 1EdTech is in the planning stages to develop a more comprehensive AI Data self-assessment instrument to assess the use of data in AI beyond privacy, including data sources, data validity and bias, intellectual property, user prompt data, and other data concerns when AI is in use.

To maintain their 1EdTech TrustEd Apps Generative AI Data Rubric Self-Assessment, the Supplier should self-assess their product(s) any time they modify the use of AI in their product, or modify the AI Data Policy/Agreement including any policies, features, and procedures.

The general public can see that a product has been self assessed by a supplier in the 1EdTech TrustEd Apps Product Directory, but only 1EdTech members can view the detailed self-assessment results.

Institutions advocate for suppliers to complete their 1EdTech TrustEd Apps Generative AI Data Rubric Self-Assessment by requiring that suppliers complete the self-assessment before signing a contract/purchasing. This may include the requirement for the Generative AI Data Rubric self-assessment in their contracts and requests for proposals (RFPs).

 

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