Internet2 AI Profiles Intake Form - Beta

The Internet2 AI Profiles facilitate the exchange of information about the services utilized by Internet2 member institutions. This exchange aims to promote collaboration, enable the comparison of strategies, and enhance the overall effectiveness of the use of AI technologies at member institutions.

This form will add or update your institution’s AI Profile. While the Profiles are behind SSO, only contribute data you are comfortable with becoming public.

If you are unsure about whether your institution is using or considering any of these products and services, please leave the question blank.

Please contact aiprofiles-feedback@internet2.edu with any issues, questions, or feedback.  

Product Category

The Profile includes information about your institution’s adoption and use of technologies in the following categories:  

• Chatbots - Web-based, conversational AI interfaces that engage in text-based dialog (supplemented with other media types) to answer questions, provide information, or assist with tasks.

• CoPilots - AI-powered assistants that work alongside users in specific software applications, offering context-aware suggestions, automating routine tasks, or other AI-based augmentation.

• AI Features - Integrated AI features within existing products that enhance the user experience in a variety of ways. For the purpose of the AI Profiles, we are particularly interested in understanding if AI features have been enabled in a set of common applications.

• Studios - Comprehensive development environments that provide tools and interfaces for creating and deploying AI-enabled applications and training/tuning AI models.

• Model Families for Custom Applications - Collections of pre-trained AI models, including those that can be fine-tuned or adapted for specific use cases.

• Platforms and Hosting Environments - Cloud-based or on-premises infrastructure solutions that are used to deploy, manage, and scale AI applications.

Type of Use

For each technology, please indicate which of the following categories appropriately describes your institution’s use. Please feel free to include multiple categories:

• Enterprise - Provided to All - Institution-wide service made available to all or a defined population of users at no additional cost to individual users or departments.

• Enterprise - Recharge - Centrally managed service offered to departments, units, or end-users on a cost-recovery basis.

• Departmental (Purchased or adopted by a College or Departmental IT unit) - Service acquired and managed by a specific college, department, or IT unit for use within their area of the institution.

• Consumer / Individual Use - Services that individual users within the institution have acquired and use independently, typically through personal accounts or licenses.

• Not Used - Not known to be in use within the institution.

• Not Used - Evaluated and Rejected - Assessed, but was deemed unsuitable, infeasible, or unnecessary for the institution's needs.

• Prohibited, But In Use - Assessed, but was deemed to incur sufficient risks to warn end-users against adoption.

Stage of Adoption

• Evaluating - Assessing the potential benefits, risks, and feasibility of the technology.

• On Roadmap - Planned for future implementation with a tentative timeline and resource allocation.

• Piloting - Testing this solution in a limited environment to understand its effectiveness and adoption.

• Implementing - Actively developing or configuring this technology for production use.

• Deployed - Operational solution deployed and in use for the intended scope.

Expertise

• Expert - My institution has significant experience with this technology and is willing to be identified as an expert within the community.

Web-based, conversational AI interfaces that engage in text-based dialog (supplemented with other media types) to answer questions, provide information, or assist with tasks.

AI-powered assistants that work alongside users in specific software applications, offering context-aware suggestions, automating routine tasks, or other AI-based augmentation.

Integrated AI features within existing products that enhance the user experience in a variety of ways. For the purpose of the AI Profiles, we are particularly interested in understanding if AI features have been enabled in a set of common applications.

Comprehensive development environments that provide tools and interfaces for creating and deploying AI-enabled applications and training/tuning AI models.

Collections of pre-trained AI models, including those that can be fine-tuned or adapted for specific use cases.

Cloud-based or on-premises infrastructure solutions that are used to deploy, manage, and scale AI applications.