Clarity is Yale’s generative AI chat platform, providing a high-visibility service to provide premium generative AI capabilities to everyone in the Yale Community. The project has roots going back to 2023 and has benefitted enormously from deep collaboration with distributed IT units. Volunteers from the Provost’s Office, Yale School of Architecture, Poorvu Center for Teaching and Learning, Yale Library, and Public Affairs & Communication worked with many Yale ITS units and two vendors to design, develop, and deploy Clarity. In addition to being a high-profile service, Clarity is an excellent example of what One IT at Yale means and what can be accomplished when Yale ITS and distributed IT units work together.
This session showcases custom AI chatbots developed or in development for a variety of Yale functions. Devon Barker from Educational Technology will talk about new custom Bots++ functions built into EdDiscussions available for use in courses. Vin Guerrero from Advanced Technology will talk about Minerva, a custom chatbot providing service support for students after hours. Matt Reynolds from Digital Learning will share about the design process for a new custom chatbot for faculty interested in taking Yale courses into new online environments. Connie Steel will chair the panel asking questions about the design processes, functions, and risks and benefits of the bots. The panel will conclude with information about the current state of custom bot options at Yale and introductory resources.
Join us for an engaging discussion about Yale's journey in developing Beacon, an innovative AI-powered knowledge system that transforms how our community interacts with institutional information. Through cross-unit collaboration between IT, Yale Health, and Finance, we've created a solution that goes beyond traditional chatbots to deliver nuanced, context-aware responses about complex policies, procedures, and health topics. Our roundtable will explore how human expertise and AI capabilities can be thoughtfully integrated to enhance user experience while maintaining accuracy and trust. We'll share insights from our implementation across different units, highlighting how collaborative human processes were crucial in teaching AI to navigate complex topics.
