A panel of UI experts share their insights on the future of AI in business 

Tuesday, April 4
Noon Central Time
Via Zoom

Although we’ve been using artificial intelligence-driven tools at work and school for years, few of them have shown the power of ChatGPT. Introduced just last November, the research and writing robot has already upended business and education, and continued AI development promises only dramatic changes in the years ahead. We can anticipate that this technology will impact all of our work in the future. In this moderated panel discussion, our experts will discuss the underlying technology that has lead to the evolvement of ChatGPT, its impact on higher education, the legal issues impacting the technology, and how it is already changing business.

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Pam Bourjaily

Pamela Gibbs Bourjaily

Associate Professor of Instruction

Pam Bourjaily became Tippie College’s first faculty in business communication in 2019. She built and developed the Department of Accounting writing program, one of the first business departmental writing initiatives in the country, pioneering a “writing across the curriculum” approach that serves as working model and proof of concept for the college’s current discipline-specific departmental communication plans. As director of the Frank Business Communication Center, she transitioned the center from a tutoring operation to the primary hub of business communication initiatives and solutions in the college.

In her current more pedagogy-focused role, she specializes in business communication course design and assessment and regularly presents on curriculum innovation at the Association for Business Communication, the largest association for academic business communication professionals in the world.

Patrick Fan

Patrick Fan

Henry B. Tippie Excellence Chair Professor in Business Analytics, University of Iowa

Dr. Weiguo (Patrick) Fan received his Ph.D. in AI/Information Systems in 2002 from the University of Michigan, Ann Arbor. His research interests focus on the design and development of novel information technologies — AI, information retrieval, data mining, text analytics, social media analytics, business intelligence techniques — to support better business information management and decision making. He pioneered the application of Genetic Programming for search engine ranking optimization, and the application of natural language processing/textual analytics for business applications such as financial statement risk assessment, uncovering product/service quality issues from social media (quality analytics), assessing crowdfunding success from project descriptions, and finding product innovation ideas from user-generated contents. He has published more than 285 refereed journal and conference papers, of which 7 papers are designated as the ESI highly cited papers by Web of Science. His research has been cited more than 15200 times (h-index 59, i10-index 166) as of 03/01/2023 according to Google Scholar.

Alicia Solow-Niederman

Alicia Solow-Niederman

Associate Professor of Law, University of Iowa College of Law

Professor Solow-Niederman's scholarship explores how to regulate technologies in a way that reckons with social, economic, and political power.  Focusing on algorithmic accountability, data governance, and information privacy, she evaluates how digital technologies, such as artificial intelligence, challenge regulatory approaches and expose underlying legal values.  

Her work has been published or is forthcoming in the Northwestern University Law Review, the Journal of Law & Innovation, the Southern California Law Review, the Berkeley Technology Law Journal and the Stanford Technology Law Review

Nick Teff

Nick Teff

Senior Data Scientist, Shopify

Nick Teff (PhD13) holds a PhD in Mathematics from the University of Iowa and is an experienced data scientist with a strong background in machine learning and data analytics. At Shopify, he works as a full-stack data scientist on a small business lending product fully powered by deep learning. In this role, Nick is responsible for defining metrics and using his statistical expertise to drive data-informed decisions through multiple A/B experiments.

Nick has played a foundational role in the creation of analytics teams at both the University of Iowa Center for Advancement and Transamerica. He implemented some of these companies' first machine learning models to predict behaviors and decisions.

Nick is also an invited speaker at numerous industry conferences, where he shares his expertise on leveraging analytics in business. In addition, he has served as a site supervisor for many teams of students in Tippie's Business Analytics and Information Systems Capstone course.


Barry Thomas

Barrett Thomas

Gary C. Fethke Research Professor in Business Analytics and Senior Associate Dean

Barrett (Barry) Thomas was named the Senior Associate Dean of the Tippie College in 2020 after serving as the Departmental Executive Officer (Department Head) in the Department of Business Analytics. He has also served as the Faculty Director of the Strategic Innovation Academy in the Fulltime MBA program and facilitated the strategic planning for Tippie.

Barry’s research focuses on improving last-mile-delivery operations through mathematical optimization and machine learning. He has over 50 peer-reviewed research publications. His research has been sponsored by the National Science Foundation and private industry. Barry is currently co-Area Editor for the Routing and Logistics Area of the journal Transportation Science, and he has previously served in editorial roles for Transportation Research—Part B and IISE Transactions.

He has previously served as President of the INFORMS Transportation and Logistics Society, an association of over 1000 transportation science researchers, and as a Vice President for INFORMS, the largest association of analytics and operations research professionals in the world.