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About

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.

Agenda

February 21, 2024 08:00 am

Symposium Welcome
Tangeman 465 Great Hall
Bharath Prabhakaran

Bharath Prabhakaran
UC Vice President & Chief Digital Officer

February 21, 2024 08:15 am

Instructors and AI: A Collaborative Approach to Redefining Learning Landscapes in the Classroom
Tangeman 417

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.

Session Resources

Krista Sigler

Krista Sigler
Assoc Professor, UCBA History

Emma Farrow

Emma Farrow
Instructional Designer, UCBA Academic Affairs

Ruth Benander

Ruth Benander
Professor, UCBA English

February 21, 2024 08:15 am

Fostering Independent Access with AI
Tangeman 220 Mainstreet Cinema

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

Noelle Bareswilt
IT Accessibility Program Director, DTS Accessibility

Heidi Pettyjohn

Heidi Pettyjohn
Exec Dir Accessibility, SA Accessibility Resources

Roderick Roberts

Roderick Roberts
Dir Accessibility Services, SA Accessibility Resources

February 21, 2024 08:15 am

Efficiency Redefined: Embracing the Use of ChatGPT in Your Work
Tangeman 427

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

Halee Edwards
Program Coordinator, CECH Student Services Center

February 21, 2024 08:15 am

“Increase vulnerable road user safety with AI/computer vision and vehicle-to-everything technology”
Tangeman 400B

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.

Session Resources

Sai Bonthu

Sai Bonthu
Graduate Assistant, CEAS - Electrical and Computer Engineering

Arthur Helmicki

Arthur Helmicki
Professor, CEAS - Electrical and Computer Engineering

Neeraj Maghat

Neeraj Maghat
Graduate Assistant, CEAS - Electrical and Computer Engineering

Vaishak Gopalakrishna

Vaishak Gopalakrishna
Graduate Assistant, CEAS - Electrical and Computer Engineering

Victor Hunt

Victor Hunt
Assoc Professor - Research, CEAS - Electrical and Computer Engineering

February 21, 2024 09:15 am

Break

February 21, 2024 09:30 am

Crafting an AI-Powered Tutor for Asynchronous Tutoring Support
Tangeman 400B

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.

Session Resources

Dr. Valentine Johns

Dr. Valentine Johns
Asst Director, CC Learning Commons

Cassandra Cain

Cassandra Cain
Student Worker, CC Learning Commons

February 21, 2024 09:30 am

Identifying Artificial Intelligence Use cases and Best Practices in Teaching and Learning
Tangeman 427

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

Dr. Victoria Wangia-Anderson
PhD, Professor - Educator, CAHS Clinical & Health Info Sciences

Dr. Andala Khan

Dr. Andala Khan
MD, Asst Professor - Educator, CAHS Clinical & Health Info Sciences

February 21, 2024 09:30 am

Optimizing Artificial Intelligence (AI) Tools to Increase Leaders’ Lesson and Programmatic Productivity
Tangeman 417

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.

Session Resources

Emily Lopez

Emily Lopez
Academic Services Administrator, Acad Aff LC Pro Staff

February 21, 2024 09:30 am

“AI’s Got Talent: An Introduction and Exploration of Generative AI Tools”
Tangeman 220 Mainstreet Cinema

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.

Session Resources

Jeffrey A. Shaffer

Jeffrey A. Shaffer
Asst Professor - Educator, LCB Opers, Bus Analy, and Infor Systems

February 21, 2024 10:45 am

Morning Keynote
Tangeman 465 Great Hall
Dr. Kelly Cohen

Dr. Kelly Cohen
Brian H. Rowe Endowed Chair in aerospace engineering, UC College of Engineering and Applied Science

February 21, 2024 11:45 am

Break for Lunch

February 21, 2024 12:45 pm

Integrating AI in Online Teaching and Learning
Tangeman 417

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.

Session Resources

Suguna Chundur

Suguna Chundur
Professor, CC Information Technology & Kristi Hall, Asst Professor, CC Information Technology

Kristi Hall

Kristi Hall
Asst Professor, CC Information Technology

February 21, 2024 12:45 pm

Generative AI And Asset Management
Tangeman 400B

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.

Session Resources

Mehmet Saglam

Mehmet Saglam
Assoc Professor, LCB Finance

February 21, 2024 12:45 pm

The difference between Jarvis and Skynet is AI-Literacy
Tangeman 220 Mainstreet Cinema

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.

Session Resources

Sid Thatham

Sid Thatham
Utility Energy Metering Engineering, A&F Util Energy Mgt

February 21, 2024 12:45 pm

Enhancing Student Advising Through AI : A Comprehensive Approach
Tangeman 465 Great Hall

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.

Session Resources

Emma Hage

Emma Hage
Program Manager, CECH Student Services Center

Krista Sigler

Krista Sigler
Assoc Professor, UCBA History

Kelly Rawe<

Kelly Rawe
Assoc Dir Academic Student Advising, CECH Student Services Center

February 21, 2024 01:45 pm

Break

February 21, 2024 02:00 pm

Afternoon Keynote
Great Hall 465
Greg Simpson

Greg Simpson
Retired Chief Technology Officer (CTO) and AI leader at Synchrony Financial

February 21, 2024 03:15 pm

Empowering Education with AI: Tools for Enhanced Teaching and Learning
Tangeman 417

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.

Session Resources

Mazid Ul Hasan

Mazid Ul Hasan
Graduate Assistant, CECH Graduate Programs-Education

Dr. Janet Zydney

Dr. Janet Zydney
Professor, CECH Instructional Design & Technology

February 21, 2024 03:15 pm

The Consequences of Data Harvesting: A Narrative
Tangeman 465 Great Hall

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

Arunkumar Muthusamy
Intern, Acad Aff Institutional Research

February 21, 2024 03:15 pm

AI Decoded: Hands-On For Everyone

Tangeman 427

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.

Session Resources

Ethan Molnar

Ethan Molnar
Undergraduate Student, Chemical Engineering

February 21, 2024 03:15 pm

"Advancing Precision Medical Education through AI-Enhanced Clinical Case Simulations for Preclinical Students"
Tangeman 220 Mainstreet Cinema

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.

Session Resources

Dr. Laurah Turner

Dr. Laurah Turner
Asst Dean, COM Dean Med Ed Curric Integ/Innovation

February 21, 2027 04:15 pm

Closing Remarks
Tangeman 465 Great Hall
Bharath Prabhakaran

Bharath Prabhakaran
UC Vice President & Chief Digital Officer

Speakers

Krista Sigler

Krista Sigler

Assoc Professor, UCBA History

Noelle Bareswilt

Noelle Bareswilt

IT Accessibility Program Director, DTS Accessibility

Halee Edwards

Halee Edwards

Program Coordinator, CECH Student Services Center

Sai Bonthu

Sai Bonthu

Graduate Assistant, CEAS - Electrical and Computer Engineering

Dr. Valentine Johns

Dr. Valentine Johns

Asst Director, CC Learning Commons

mily Lopez

Emily Lopez

Academic Services Administrator, Acad Aff LC Pro Staff

Jeffrey A. Shaffer

Jeffrey A. Shaffer

Asst Professor - Educator, LCB Opers, Bus Analy, and Infor Systems

Dr. Kelly Cohen

Dr. Kelly Cohen

Brian H. Rowe Endowed Chair in aerospace engineering, UC College of Engineering and Applied Science

Dr. Laurah Turner

Dr. Laurah Turner

Asst Dean, COM Dean Med Ed Curric Integ/Innovation

Arunkumar Muthusamy

Arunkumar Muthusamy

Intern, Acad Aff Institutional Research

Suguna Chundur

Suguna Chundur

Professor, CC Information Technology & Kristi Hall, Asst Professor, CC Information Technology

Mehmet Saglam

Mehmet Saglam

Assoc Professor, LCB Finance

Sid Thatham

Sid Thatham

Utility Energy Metering Engineering, A&F Util Energy Mgt

Emma Hage

Emma Hage

Program Manager, CECH Student Services Center & Kelly Rawe, Assoc Dir Academic Student Advising, CECH Student Services Center

Ethan Molnar

Ethan Molnar

Undergraduate Student, Chemical Engineering

Greg Simpson

Greg Simpson

Retired Chief Technology Officer (CTO) and AI leader at Synchrony Financial

Mazid Ul Hasan

Mazid Ul Hasan

Graduate Assistant, CECH Graduate Programs-Education & Dr. Janet Zydney, Professor, CECH Instructional Design & Technology

Dr. Victoria Wangia-Anderson

Dr. Victoria Wangia-Anderson

PhD, Professor - Educator, CAHS Clinical & Health Info Sciences

Dr. Andala Khan

Dr. Andala Khan

MD, Asst Professor - Educator, CAHS Clinical & Health Info Sciences

Arthur Helmicki

Arthur Helmicki

Professor, CEAS - Electrical and Computer Engineering

Dr. Janet Zydney

Dr. Janet Zydney

Professor, CECH Instructional Design & Technology

Emma Farrow

Emma Farrow

Instructional Designer, UCBA Academic Affairs

Heidi Pettyjohn

Heidi Pettyjohn

Exec Dir Accessibility, SA Accessibility Resources

Kristi Hall

Kristi Hall

Asst Professor, CC Information Technology

Neeraj Maghat

Neeraj Maghat

Graduate Assistant, CEAS - Electrical and Computer Engineering

Roderick Roberts

Roderick Roberts

Dir Accessibility Services, SA Accessibility Resources

Ruth Benander

Ruth Benander

Professor, UCBA English

Vaishak Gopalakrishna

Vaishak Gopalakrishna

Graduate Assistant, CEAS - Electrical and Computer Engineering

Victor Hunt

Victor Hunt

Assoc Professor - Research, CEAS - Electrical and Computer Engineering