Digital Technology Solutions - AI Symposium 2024
Explore the applications and implications of artificial intelligence (AI) in modern society. The DTS AI Symposium is free to attend and open to all UC students, faculty and staff. Date, Time & Location: Wednesday, Feb. 21, 8 a.m. to 4:30 p.m., Tangeman University Center, Level Four.
Keynote presentations: UC’s Brian H. Rowe Endowed Chair in aerospace engineering Dr. Kelly Cohen and retired Chief Technology Officer (CTO) and AI leader at Synchrony Financial Greg Simpson.
Breakout sessions: Led by UC students, faculty and staff.
February 21, 2024 08:00 am
Bharath Prabhakaran
UC Vice President & Chief Digital Officer
February 21, 2024 08:15 am
Artificial intelligence is not the next frontier in education; it is the landscape now , where instructors and students negotiate alike to come to some understanding of the ways it can and should be used in education. Faced with the explosion of development in AI (just two months after its launch, ChatGPT alone had become the fastest-growing consumer application in history), instructors have scrambled to determine the best ways to productively integrate this new technology into the learning process. This roundtable will be a practical discussion of what educators are facing in the classroom. We will discuss the policies that have worked so far, the techniques used for better practical management of issues of detection and citation, and the strategies we are employing to incorporate AI in a positive way in our courses. We will also discuss our experiences in an ongoing learning circle on the subject of AI in education, inviting the audience to share their own thoughts.
Krista Sigler
Assoc Professor, UCBA History
Emma Farrow
Instructional Designer, UCBA Academic Affairs
Ruth Benander
Professor, UCBA English
February 21, 2024 08:15 am
This presentation will be about the critical role that AI can and will play in enhancing independence and access for people with disabilities. As new technologies emerge, there is excitement and apprehension as to how the technology is going to evolve, who is going to lead the market, how it will be adopted by different groups of users, what opportunities this will open. One of those opportunities is allowing us to move beyond making technology “accessible”, and instead explore how we can teach and innovate from a disabled perspective, with the unique needs and perspectives of individuals with disabilities in mind. As developers of AI, design thinking has never been so important. As we train these models to produce content, accomplish tasks, etc., it is important that we design for the audience that we are targeting, and consider, “Who could use this a different way?”, as well as “Who are we unintentionally excluding?” The session will tackle the question of how to consider people with disabilities in the creation of AI tools. We will demonstrate ways that AI has been used to create accessible solutions and talk about how to consider perspectives of users with different disabilities as we design and use AI tools.
Noelle Bareswilt
IT Accessibility Program Director, DTS Accessibility
Heidi Pettyjohn
Exec Dir Accessibility, SA Accessibility Resources
Roderick Roberts
Dir Accessibility Services, SA Accessibility Resources
February 21, 2024 08:15 am
Keeping up with today’s ever-advancing technology is a daunting task. With the increasing prominence of AI in our society, it's common to feel a bit overwhelmed, questioning if your current skill set is up to par. In this workshop, higher education professionals will get to learn how to use a newer form of AI technology called ChatGPT. This application can be a virtual personal assistant if used correctly. Participants will uncover the magic of AI in all its glory by understanding the most effective way to use ChaptGTP before it is potentially integrated into more aspects of life and the workplace. The workshop will cover the debunking of common AI fears, how to use ChatGPT effectively, and uses for ChatGPT in Higher Education positions. There will be opportunities for hands-on ChatGPT interaction for participants that bring their laptop.
Halee Edwards
Program Coordinator, CECH Student Services Center
February 21, 2024 08:15 am
In this research, vehicle-to-everything (V2X) framework is integrated with Bosch Autodome Inteox 7000i camera that offers AI powered intelligent video analytics (IVA) to detect, localize, and classify vulnerable road users (VRUs) such as persons and bike-pedestrians in addition to vehicles. First, the PSM and SDSM V2X messages provide real-time safety benefits particularly in vehicle-VRU conflicts at intersections. Second, the LPI has proven to significantly improve VRU safety. In addition, future mobility in terms of connected vehicles will naturally benefit from this research project outcomes. Finally, combining the V2X messaging, and infrastructure level signal control timing changes will advance VRU safety solutions.
Sai Bonthu
Graduate Assistant, CEAS - Electrical and Computer Engineering
Arthur Helmicki
Professor, CEAS - Electrical and Computer Engineering
Neeraj Maghat
Graduate Assistant, CEAS - Electrical and Computer Engineering
Vaishak Gopalakrishna
Graduate Assistant, CEAS - Electrical and Computer Engineering
Victor Hunt
Assoc Professor - Research, CEAS - Electrical and Computer Engineering
February 21, 2024 09:15 am
February 21, 2024 09:30 am
Traditional pre-college math courses have low success rates, but students who attend tutoring do better. This proposal outlines an asynchronous Canvas course using AI to provide on-demand tutoring to students who cannot attend synchronous sessions. The course will identify core learning objectives, build interactive modules with videos, practice problems, and an AI chat tool, and implement features to track progress, and motivate students. This session will explore the design process, showcase a demo, and discuss future directions and challenges. By making tutoring readily available, this AI-powered course has the potential to revolutionize pre-college math education and improve student success.
Dr. Valentine Johns
Asst Director, CC Learning Commons
Cassandra Cain
Student Worker, CC Learning Commons
February 21, 2024 09:30 am
Stakeholders in higher education are eager to learn about AI applications and how to leverage them for teaching and learning. Research on AI use has mostly been limited to students. We focus on both students and faculty and aim to 1) identify use cases on AI for teaching and learning, 2) discuss the strengths, weaknesses, and opportunities of AI use for teaching and learning, 3) propose mitigation strategy for the threats and weaknesses, 4) and discuss available resources and best practices
Dr. Victoria Wangia-Anderson
PhD, Professor - Educator, CAHS Clinical & Health Info Sciences
Dr. Andala Khan
MD, Asst Professor - Educator, CAHS Clinical & Health Info Sciences
February 21, 2024 09:30 am
This session will include research and practical uses of artificial Intelligence (AI) tools, such as ChatGPT and Diffit, and tools that embed AI, such as Canva and Mindomo, applied to leaders – faculty, staff, and student leaders – to increase productivity and programmatic impact. For example, AI can be used for brainstorming (training objectives, survey questions, recognition ideas), outlining facilitation techniques, and differentiating materials. This session will include how to effectively prompt generative AI tools to produce more applicable outputs, using group facilitation-related examples.
Emily Lopez
Academic Services Administrator, Acad Aff LC Pro Staff
February 21, 2024 09:30 am
In "AI's Got Talent," we will explore the realm of Generative Artificial Intelligence (AI), the innovative technology behind transformer models and their role in shaping the future of creative AI tools. This presentation is an introduction to Generative AI, highlighting its operational mechanics, its exceptional strengths in mimicking human-like creativity, as well as its current limitations. Attendees will gain insights into the "transformative" capabilities of AI and its implications across various domains. The session will also include a demonstration of state-of-the-art GenAI tools and the impact of GenAI in data analytics.
Jeffrey A. Shaffer
Asst Professor - Educator, LCB Opers, Bus Analy, and Infor Systems
February 21, 2024 10:45 am
Dr. Kelly Cohen
Brian H. Rowe Endowed Chair in aerospace engineering, UC College of Engineering and Applied Science
February 21, 2024 11:45 am
February 21, 2024 12:45 pm
As a fully online Information Technology program we have been cognizant of the power of AI in teaching and learning and the challenges it poses to traditional methods of teaching, learning and assessment. We are experimenting with various ways of including AI in the classroom, integrating AI into our teaching framework, creating a model that is AI-aware, and presenting our work at the Consortium of Computing in Colleges in October 2023. In this round table, we will discuss our experiences with using an AI-aware pedagogical approach to teaching and learning.
Suguna Chundur
Professor, CC Information Technology & Kristi Hall, Asst Professor, CC Information Technology
Kristi Hall
Asst Professor, CC Information Technology
February 21, 2024 12:45 pm
Leveraging text analysis in portfolio allocation has become popular with the developments in computational power and artificial intelligence. In this talk, I will go over the most recent exploration in this domain: utilizing large language models such as ChatGPT in predicting future stock returns. Despite being at its early stage, some recent academic articles show that processing news articles with large language models can help investors achieve higher risk-adjusted returns. This new line of research indicates that integrating advanced language models into investment decision-making can result in increased prediction accuracy and improved performance for quantitative trading strategies.
Mehmet Saglam
Assoc Professor, LCB Finance
February 21, 2024 12:45 pm
While we all have varying levels of interest in and understanding of AI, weekly developments in this field alter our relationships with the present and the future. While publicly available advanced-but-easy-to-use tools have expedited mass-adoption, concern continues to mount. As the experts refine AI, it is imperative that the rest of us develop literacy around the use cases and pros-&-cons of AI for informed decision-making. The presentation will discuss this in detail along with a set of action items, especially for us non-experts - educators, parents, and students alike, and demonstrate some fascinating examples from various industries. AI-literacy: Collective Responsibility.
Sid Thatham
Utility Energy Metering Engineering, A&F Util Energy Mgt
February 21, 2024 12:45 pm
This presentation explores the ways in which academic advisors use artificial intelligence to revolutionize their advising processes. Two academic advising professionals will show how they have harnessed ChatGPT to streamline communication and foster effective advisor-student interactions. In addition, this presentation will offer ideas for how artificial intelligence and automation can revolutionize academic advising for both students and staff. Examples will be presented on potential for building and training chatbots to elevate the quality and efficiency of student advising.
Emma Hage
Program Manager, CECH Student Services Center
Krista Sigler
Assoc Professor, UCBA History
Kelly Rawe
Assoc Dir Academic Student Advising, CECH Student Services Center
February 21, 2024 01:45 pm
February 21, 2024 02:00 pm
Greg Simpson
Retired Chief Technology Officer (CTO) and AI leader at Synchrony Financial
February 21, 2024 03:15 pm
Artificial Intelligence (AI) is showing significant potential to improve teaching and learning in various ways. This workshop session will introduce several curated AI tools that can improve teachers’ productivity, boost content presentation, enhance accessibility, and facilitate personalized learning. The participants will interact with the tools to understand the basic functionalities and discuss the potential benefits and limitations. They will also share their thoughts on the potential challenges and solutions of using AI in education. The facilitators will provide a resource that includes detailed information on these AI tools and further resources on AI in education.
Mazid Ul Hasan
Graduate Assistant, CECH Graduate Programs-Education
Dr. Janet Zydney
Professor, CECH Instructional Design & Technology
February 21, 2024 03:15 pm
Utilizing a narrative approach, I highlight the pervasive use of data in decision-making, from college admissions to policing. Algorithmic bias based on race, class, and gender can perpetuate inequality and lead to harm for marginalized groups & facial recognition technology is particularly concerning due to its high rate of misidentification and potential for violating privacy. Data harvesting and algorithmic decision-making can have significant consequences for individuals and communities and we need to be aware of and address the potential biases and harms associated with these technologies. Collaborative efforts to create a more just and equitable digital future are important & necessary.
Arunkumar Muthusamy
Intern, Acad Aff Institutional Research
February 21, 2024 03:15 pm
This session aims to teach non-technical audience members to understand and interact with state-of-the-art AI models. 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. The workshop segment will feature the live installation and operation of models across many different domains; such as text, image, and speech generation. Direct, hands-on interaction will be highly encouraged as we explore real-time responses based on audience-suggested prompts.
Ethan Molnar
Undergraduate Student, Chemical Engineering
February 21, 2024 03:15 pm
Purpose: Addressing the need for individualized medical education, we developed the '2-Sigma' platform, an AI-driven tool inspired by Bloom's Two-Sigma Problem. It offers personalized tutoring using conversational AI and Large Language Models (LLMs) to create interactive clinical scenarios, enhancing clinical decision-making skills. Integrated into the University of Cincinnati College of Medicine's pre-clinical curriculum, '2-Sigma' demonstrates scalability and effectiveness in medical education, providing insights into AI's educational role. Approach/Methods: '2-Sigma' combines advanced app development frameworks with Generative AI, including LLMs, for scalable interactive applications. It features AI-generated clinical cases, simulating unique clinical experiences with real-world responses for student practice. We analyzed user engagement, case diversity, diagnostic accuracy, and student questioning behavior for insights into clinical reasoning. Results/Outcomes: Between August and September 2023, 176 second-year medical students conducted 1,810 sessions with '2-Sigma', averaging 31.68 minutes per case. The AI-generated patient demographics showed gender imbalance and a bell curve in age distribution. Viral myocarditis and hypersensitivity pneumonitis were the most misdiagnosed cases. More questions were asked in cases with missed diagnoses. Discussion/Interpretation: '2-Sigma' advances precision medical education using AI. The pilot highlights the need for AI model refinement to address gender bias and the importance of guardrails for educational focus. The platform allows educators to analyze data for feedback on clinical reasoning, offering students practice with immediate AI feedback. Significance: '2-Sigma' as a one-on-one tutor provides focused feedback on diagnostic accuracy and efficiency. It aggregates diverse data, offering educators comprehensive insights and marking its potential in revolutionizing medical education skill development and learning experiences.
Dr. Laurah Turner
Asst Dean, COM Dean Med Ed Curric Integ/Innovation
February 21, 2027 04:15 pm
Bharath Prabhakaran
UC Vice President & Chief Digital Officer
Krista Sigler
Assoc Professor, UCBA History
Noelle Bareswilt
IT Accessibility Program Director, DTS Accessibility
Halee Edwards
Program Coordinator, CECH Student Services Center
Sai Bonthu
Graduate Assistant, CEAS - Electrical and Computer Engineering
Dr. Valentine Johns
Asst Director, CC Learning Commons
Emily Lopez
Academic Services Administrator, Acad Aff LC Pro Staff
Jeffrey A. Shaffer
Asst Professor - Educator, LCB Opers, Bus Analy, and Infor Systems
Dr. Kelly Cohen
Brian H. Rowe Endowed Chair in aerospace engineering, UC College of Engineering and Applied Science
Dr. Laurah Turner
Asst Dean, COM Dean Med Ed Curric Integ/Innovation
Arunkumar Muthusamy
Intern, Acad Aff Institutional Research
Suguna Chundur
Professor, CC Information Technology & Kristi Hall, Asst Professor, CC Information Technology
Mehmet Saglam
Assoc Professor, LCB Finance
Sid Thatham
Utility Energy Metering Engineering, A&F Util Energy Mgt
Emma Hage
Program Manager, CECH Student Services Center & Kelly Rawe, Assoc Dir Academic Student Advising, CECH Student Services Center
Ethan Molnar
Undergraduate Student, Chemical Engineering
Greg Simpson
Retired Chief Technology Officer (CTO) and AI leader at Synchrony Financial
Mazid Ul Hasan
Graduate Assistant, CECH Graduate Programs-Education & Dr. Janet Zydney, Professor, CECH Instructional Design & Technology
Dr. Victoria Wangia-Anderson
PhD, Professor - Educator, CAHS Clinical & Health Info Sciences
Dr. Andala Khan
MD, Asst Professor - Educator, CAHS Clinical & Health Info Sciences
Arthur Helmicki
Professor, CEAS - Electrical and Computer Engineering
Dr. Janet Zydney
Professor, CECH Instructional Design & Technology
Emma Farrow
Instructional Designer, UCBA Academic Affairs
Heidi Pettyjohn
Exec Dir Accessibility, SA Accessibility Resources
Kristi Hall
Asst Professor, CC Information Technology
Neeraj Maghat
Graduate Assistant, CEAS - Electrical and Computer Engineering
Roderick Roberts
Dir Accessibility Services, SA Accessibility Resources
Ruth Benander
Professor, UCBA English
Vaishak Gopalakrishna
Graduate Assistant, CEAS - Electrical and Computer Engineering
Victor Hunt
Assoc Professor - Research, CEAS - Electrical and Computer Engineering