Description
Generative AI is a type of artificial intelligence that can create new content, like text, images, music, or videos, based on patterns learned from vast datasets, rather than just analyzing existing data. Generative AI models are trained on large datasets and learn to identify patterns and relationships within that data.
- ChatGPT is a generative artificial intelligence chatbot developed by OpenAI. ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. ChatGPT is built on OpenAI's proprietary series of generative pre-trained transformer (GPT) models and is fine-tuned for conversational applications using a combination of supervised learning and reinforcement learning from human feedback.
- Copilot for M365 - Microsoft 365 Copilot combines the power of language models with your organization’s data—all in the flow of work—to turn your words into one of the most powerful productivity tools on the planet. Copilot provides AI assistance within your everyday apps (Word, Excel, PowerPoint, Outlook, and Teams), responding to your prompts to help you draft content, analyze data, automate tasks, and collaborate more effectively—all without disrupting your workflow. Microsoft 365 Copilot and Copilot Chat also inherit the enterprise-grade data security, privacy, and compliance settings you’ve already specified for Microsoft 365, so you can remain in control of your data.
- Google Gemini - Google’s flagship family of multimodal artificial intelligence models capabale of analyzing, inerpreting, and generating across a variety of input types including text, images, audio, video, and code in a unified system. Gemini has evolved into a powerful platform that integrates deeply across Google’s products and services, enabling reasoning, content generation, task automation, and agent‑like behaviors.
- Anthropic Claude is a family of advanced large language models developed by Anthropic, designed for high-level reasoning, coding, and multimodal tasks. The Claude ecosystem supports a range of use cases, from software engineering and debugging to enterprise workflows, legal drafting, and creative or analytical tasks. Across its lineup, Claude emphasizes safe, reliable, and agentic behavior, providing features like adaptive thinking, tool use, web connectors, and autonomous task execution capabilities.
- Approval of additional AI Tools options is subject to UMKC IT Purchase Policy. You can request a software review by submitting the New Software Purchase form.
The data classification levels (DCL) and associated requirements are key to the entire data classification system (DCS). All data (regardless of format) must be classified in order to determine what security measures are necessary to adequately protect the University's information assets. Be aware of what types of data you are exposing to AI tools and the potential security risks by reviewing the UM System Data Classification System definitions. The UM System Education versions of ChatGPT and Copilot have been approved for DCL1 - DCL3 data. No AI tool has been approved for DCL4 data. All other AI tools will have an acceptable DCL level defined during review of the tool.
Who Has Access
Faculty, Staff, and Student Employees from all UM System campuses.
Cost
Licenses must be renewed every year. Subscription cost is billed annually. Prices are subject to change.
Get Started
Instructions for logging in with your new license and tips for learning AI products are available on the UMKC AI Tools Overview info page.
Additional Resources