AI Symposium Agenda | Tangeman 465 Great Hall

AI Symposium Agenda
This presentation explores two AI-driven talking avatars developed at the UC Extended Reality (XR) Lab, leveraging large language models (LLMs) for realistic interaction in XR environments. The XRLab Bot acts as a virtual tour guide, providing real-time engagement and navigation through the lab with spatial awareness, while the P&G Bot emulates a high-fidelity human likeness, delivering product expertise within a VR setting. These bots highlight advancements in AI, LLMs, and XR, showcasing potential applications in education, customer service, and smart campuses. The presentation will cover AI-driven navigation, multi-client architecture, and XR integration for immersive digital experiences. The session will showcase AI-driven navigation and interaction, demonstrating the bot's capabilities in translating speech-to-text using Whisper AI, retrieving responses from ChatGPT, and interpreting real-time visitor needs and spatial data to guide users throughout XRLab. It will explore the multi-client, real-time architecture by sharing insights on managing multiple Unreal and Python clients with a central server, coordinating bot actions, face tracking, and area-specific responses in real-time. The discussion will highlight XR integration and smart campus applications, emphasizing the bot's adaptability within XR platforms using Unreal Engine and its potential for virtual and augmented reality applications in campus tours, orientations, and educational experiences. Additionally, the session will discuss LLM-driven conversational AI, utilizing advanced models to power sophisticated, natural language interactions with users. High-fidelity 3D avatar creation will be addressed, focusing on crafting detailed, lifelike avatars capable of mimicking human expressions and movements. It will also cover customizable AI for chat avatars, enabling personalized, AI-driven avatars tailored to specific user preferences and needs. Interactive avatars with facial animation and motion capture will be demonstrated, showing how avatars can exhibit dynamic facial expressions and reactions during interactions. The session will also explore metaverse creation, showcasing the development of immersive, interconnected virtual worlds where users can interact through their avatars. Finally, the discussion will include virtual reality (VR) and augmented reality (AR) environments and experiences, highlighting their ability to blend digital content with the physical world or create entirely virtual spaces.

AI Symposium Agenda
The rapid evolution of Artificial Intelligence (AI) has heralded a new era of innovation, transforming industries and redefining possibilities. However, this momentum raises a crucial question: How do we foster groundbreaking advancements while ensuring safety, trustworthiness, and ethical governance? In this seminar, we delve into this dual imperative, drawing on over four decades of experience at the nexus of AI research, fuzzy logic, and responsible innovation. Dr. Kelly Cohen, an esteemed leader in Aerospace and Biomedical Engineering and President of the North American Fuzzy Information Processing Society (NAFIPS), will explore how frameworks like Explainable AI (XAI) and genetic fuzzy logic provide pathways to balance these priorities. Drawing from his pioneering work with autonomous systems, advanced air mobility, and predictive modeling in medicine, Dr. Cohen will outline strategies for embedding transparency and accountability into AI systems without stifling innovation. Key case studies, ranging from uncrewed aerial vehicle optimization to personalized biomedical applications, will illustrate the practical implementation of these principles. The talk will also address regulatory challenges and opportunities, highlighting collaboration between academia, industry, and policymakers to create adaptive guardrails that accommodate evolving technological landscapes. By leveraging soft computing and ethical AI paradigms, Dr. Cohen argues for a future where AI systems not only push the boundaries of what is possible but do so in ways that align with societal values and safety requirements. Whether you are a student, staff, faculty, researcher, policymaker, or industry leader, interested in AI, this talk at UC 2025 AI Symposium provide actionable insights into how we can navigate the complex terrain of fostering progress while building trust and safeguarding humanity.

AI Symposium Agenda
Artificial intelligence brings both opportunities and challenges to education. Join the discussion on how information literacy intersects with artificial intelligence. In this presentation practical frameworks will be shared for helping learners assess credibility, bias, and relevance in AI. Walk away with actionable strategies to integrate information literacy and AI into teaching and learning.

AI Symposium Agenda
One of the CEDAR Language Resource Center’s focal areas is the use of virtual reality (VR) to promote transcultural competence by employing VR to provide learners with virtual access to speech communities, both nationally and internationally. This panel will present four different virtual reality projects that have been developed by members of the CEDAR Language Resource Center to facilitate the implementation of open access immersive materials in the Spanish language programs and to measure its impact on student's development of their transcultural competence.

AI Symposium Agenda
Energy is often undiscussed when it comes to ‘Responsible AI’. This presentation will examine the consequences of a surge in demand for data centers since the widespread adoption of AI, the energy required to run these facilities in our region and the potential impact of this demand on our home energy bills. As AI becomes more prevalent in our daily use, these consequences could be significant. We will also discuss factors such as resource limitations and efficiency advancements that may help alleviate these issues along with the need for transparency regarding AI's environmental costs.

AI Symposium Agenda

AI Symposium Agenda | Tangeman 465 Great Hall

AI Symposium Agenda

AI Symposium Agenda
This panel will discuss the integration of AI at UC Clermont Learning Commons, with a particular focus on the development and deployment of on-demand AI tutors utilizing large language models (LLMs). Various cases ranging from casual student use to course-specific tutoring and writing support will be shared, while also exploring faculty perspectives on the use of AI. The session will also evaluate the pros and cons of popular LLMs (ChatGPT, Copilot, and Gemini). Finally, we’ll discuss deployment, data collection, and analysis. Audience engagement is encouraged to explore future possibilities for enhanced student outcomes through AI integration.

AI Symposium Agenda
In "Accessible Reality: The Intersection of Emerging AI and Disability," we examine how AI innovations are transforming accessibility, highlighting the potential and challenges of AI in this field. This presentation covers the attributes that make AI tools effective for accessibility, as well as key considerations and cautions in their development to ensure inclusivity and ethical use. Through real-world demonstrations, including accessible games and assistive technology, we illustrate AI's powerful impact in supporting diverse needs. Finally, we look toward the horizon, exploring how AI's evolution could further shape accessibility and enhance independence for individuals with disabilities.

AI Symposium Agenda
Discover how immersive Virtual Reality (VR) simulations are transforming nursing education by providing realistic, hands-on clinical experiences in a safe, controlled environment. This presentation will explore innovative VR case studies designed to enhance critical thinking, clinical judgment, and decision-making skills. Attendees will gain insights into the development, implementation, and impact of VR nursing scenarios on student engagement and learning outcomes, as well as strategies for integrating VR into curriculum design.

AI Symposium Agenda
Artificial Intelligence (AI) tools like ChatGPT are rapidly accelerating advancements across a wide range of industries—from healthcare and transportation to media, sports, and beyond. These technologies have the potential to improve quality of life, reduce human error in critical fields, and enhance overall efficiency. In education, AI’s transformative power is becoming increasingly evident, offering avenues to personalize learning, broaden creative opportunities, and increase student engagement. Yet, in piano pedagogy, many educators remain wary. Concerns over academic integrity, a perceived lack of human connection, and worries that AI tools might replace traditional teaching methods often overshadow the real benefits these technologies can offer. For today’s students, who rely on ChatGPT as readily as earlier generations relied on Google, ignoring the impact of AI in the classroom distances educators from their learners’ experiences. The rapid evolution of generative AI tools means that students can now seamlessly integrate them into their work, from brainstorming ideas and refining assignments to exploring diverse topics for study. Meanwhile, new platforms, such as Phraserly AI, claim to “humanize” the language generated by ChatGPT, making it harder than ever to distinguish between student-produced work and AI output. This landscape can feel intimidating, yet it also presents opportunities to guide students toward responsible, productive engagement with these tools. This session offers a comprehensive framework for thoughtfully integrating AI into piano pedagogy courses and considers how to preserve the essential elements of traditional piano teaching in tandem with the efficiency and creativity AI affords. By embracing AI responsibly, educators can help students develop critical digital literacy skills that will be invaluable in an AI-driven workforce. Moreover, by demystifying AI tools, educators can nurture a safe, informed environment that addresses concerns about accuracy, bias, and ethical use. Historical Context and Technological Parallels: to reduce anxiety and build understanding, we will compare today’s AI tools to earlier technological shifts in music and education—such as the printing press, recorded media, metronomes, and online databases—that were initially met with skepticism but ultimately enhanced artistry and accessibility. Practical Prompt Writing: the power of ChatGPT lies in the quality of the prompts provided. This session will demonstrate how carefully crafted prompts can guide the tool to suggest research and writing ideas, summarize findings, and generate administrative materials like syllabi, schedules, or assignment rubrics. Ethical Considerations, Accuracy, and Bias: AI is not infallible. It may produce inaccuracies or reflect biases present in its training data. We will discuss strategies for verifying information gleaned from ChatGPT, cross-referencing sources, and encouraging students to critically evaluate AI-generated content. This includes helping students articulate their intended AI usage, fostering transparency, and embedding lessons on digital literacy and academic integrity in the curriculum. From Traditional to Multimodal Teaching: AI tools can transform conventional assignments—such as reading reflections, lecture notes, and workshops—into new formats like podcasts, blog posts, and video scripts, expanding how students engage with material and re-deliver that material to diversify their portfolios. Reevaluating Assessment Models: Educators must consider how best to assess students in an AI-rich environment. This could involve shifting toward project-based learning, oral presentations, or reflective portfolios that emphasize critical thinking and originality. This session aims to equip instructors with the knowledge, confidence, and ethical frameworks needed to integrate AI into piano pedagogy.

AI Symposium Agenda
We are in the age of artificial intelligence—a time that Alan Turing, the pioneering computer scientist, might have once dreamed about. In the 1940s, Turing created the Turing Test, a thought experiment to gauge machine intelligence by determining if a computer could convince a human of its humanness. While revolutionary, Turing’s concept could only envision an initial layer of machine intelligence; it did not anticipate the sophisticated capabilities AI would develop today. Fast forward nearly a century, and machines can not only mimic human conversation but can also learn, adapt, and provide knowledge on almost any topic. Yet, the potential of AI in education remains largely untapped. Inspired by platforms like ChatGPT, which have transformed learning for millions of students, this paper presents an ambitious concept: “The Smart Professor.” Targeted specifically at high schools, colleges, and universities, particularly the University of Cincinnati, The Smart Professor redefines the educational experience. Unlike traditional classroom settings where lectures are generalized and rarely personalized, The Smart Professor provides each student with a unique, interactive, and adaptive learning environment. Using personalized video lectures, virtual reality, and real-time interactions, this platform promises a new era of education where learning can be tailored to each student’s pace, comprehension level, and individual curiosity. This paper explores The Smart Professor's potential to address limitations in the current educational system, offering a future where education is accessible, personalized, and profoundly human-centric.

AI Symposium Agenda

AI Symposium Agenda
This session aims to teach audience members to understand and interact with state-of-the-art AI models from a non-technical perspective. We will explain recent groundbreaking advancements and, after becoming comfortable with the technology, demonstrate how open-source programs can run these models on consumer hardware. Direct questions and suggestions will be highly encouraged as we explore real-time generations from spur-of-the-moment prompts. We hope to give attendees a glimpse into a future where individuals are empowered by self-owned, private, and personalized AI tools. A springboard for independent experimentation will be provided at the end of the presentation.

AI Symposium Agenda
Participants will be introduced to some general categories of ethical questions we should be concerned about when it comes to the development and use of AI. Participants will also be introduced to some moral frameworks that are helpful to be aware of when thinking about ethical issues that arise in the development and use of AI. Participants will then engage in case study discussion with each other regarding a few cases that involve ethical issues related to AI in higher education.

AI Symposium Agenda
Safety is critical in aviation. In the context of occupational health and safety specifically, many methods and processes that maintain worker safety are well-established. Workers learn these methods along with relevant policies and procedures aimed at preserving safety and health during workplace training. However, these policies and procedures are not always adequately implemented, resulting in injuries and illnesses. These injuries and illnesses are preventable. In the aviation industry, it is estimated that up to two-thirds of accidents are attributable to human factors. Human factors and individual behavior and performance are influenced by health and safety motivation. Occupational health and safety motivation refers to an individual’s intrinsic and extrinsic motivation to comply with health and safety practices. Positively affecting an individual’s health and safety motivation at the outset of training can improve the consistency and efficiency of the adherence to health and safety policies and procedures, resulting in fewer injuries and illnesses. Understanding how occupational health and safety motivation impacts worker outcomes is critical for designing effective interventions. Extended reality (XR) provides a novel approach to health and safety training. Training modules that use XR can positively impact occupational health and safety motivation through training to reduce injury and illness rates in the aviation industry. Extended reality (XR) headsets offer the?previously unavailable ability to observe the direction of attention through eye tracking during normal training routines, enabling the connection between the direction of attention paid during a training module and worker safety outcomes. Using XR will allow for the determination of effective training interventions that will improve worker safety outcomes. Further, it is anticipated that the increased real-time feedback and ability of XR-based applications to tailor modules to worker needs will allow for increased worker engagement in training. By increasing worker engagement in training, this research aims to positively impact individual and organizational worker health outcomes. This session will explore novel applications to enhance occupational health and safety motivation in aviation with AI and XR-based training modules. The research direction and potential applications of these tools will be discussed. Attendees will develop an understanding of the importance of occupational health and safety motivation and the need for novel intervention methods in the aviation industry. Ways that XR can be used to measure and assess occupational health guidelines at the individual and organizational levels will be explored. Attendees will develop an appreciation for how AI and XR can positively impact aviation workers' health and safety and explore the future applications of novel technologies in this area. Participants will leave this session with a well-rounded understanding of occupational health and safety motivation, and appreciation of the need for novel approaches in aviation, and the possibilities of AI and XR to improve worker health and safety outcomes through training modules.

AI Symposium Agenda

AI Symposium Agenda
This presentation explores integrating ChatGPT-4 into grading workflows for open-ended assessments in two upper-division Health Sciences Program courses at UC. Emphasizing AI's role in streamlining equitable grading and enhancing formative feedback, I will discuss workload impact, compare human-only and AI-supported grading, and share insights into student perceptions of AI-human feedback. This case study demonstrates how generative AI supports adaptive learning environments, optimizes teaching efforts, and potentially improves student outcomes, aligning with smart campus innovation goals in higher education.

AI Symposium Agenda

AI Symposium Agenda | Tangeman 465 Great Hall

AI Symposium Agenda | Tangeman 465 Great Hall