AI Adoption

AI Champions will drive AI adoption within their departments and teams with tailored information and training mechanisms. This will be the most effective way for teams to embrace AI in a way that resonates with team members and helps users feel comfortable with the product and more likely to adopt it in their day-to-day activities.

Champions Overview

using copilot

About Champions

The University of West Georgia is developing a Champions program to help the UWG develop a mindset of "How can I use AI?" rather than "Should I use AI? Champions will be used to eliminate layers of learning and will be a convenient and knowledgeable source for AI questions and training.

AI Champion Responsibilities

  • Complete the initial training.
  • Facilitate the use and embracement of AI within your team.
  • Conduct training sessions with your team or individuals.
  • Research UWG business, teaching and learning scenarios where AI can be helpful and document these use cases.
  • Attend recurring learning opportunities and workshops.
  • Foster a culture of experimentation and innovation to encourage AI adoption.
  • Develop effective prompts to guide users in receiving the optimal output.
  • Ensure that ethical and responsible AI practices are integrated into all AI projects.
  • Gather, document, and share user feedback about AI's functionality, usability, and effectiveness.

Reasons to be a Champion

  • Chance to drive impact for Copilot adoption.
  • Gain early access to readiness and training materials.
  • Provide opportunities to showcase your wins.
  • Share ideas and collaborate with other Champions. 

Pilot Program Overview

pilot program

Add content for Pilot Program

AI Roadmap

copilot uses

The ITS roadmap of future AI includes:

  • Other AI service offerings such as Copilot for Microsoft 365, which integrates with popular Office tools like Word, PowerPoint, and Excel, and the advanced Microsoft ???.
  • Researching Azure OpenAI Platform, which allows developers to build and train their own custom AI models.
  • An interdisciplinary team which will investigate other tools, explore AI capabilities within existing technology services, strengthen adoption efforts, and build out governance and ethical frameworks for AI at UWG.
  • Laying the groundwork for rolling out generative AI services through a series of small educational workshops in some administrative spaces.