AI and Performance: Music, Medicine, and Mental Health

Join the UIS Performance Psychology and the AI Campus Learning Community for a panel discussion about the intersections of Artificial Intelligence and performance, broadly conceived, including: the nature of the physician-patient relationship; emotion regulation and mental health; music performance assessment and error correction.

Complimentary pizza lunch for event attendees

Harnessing AI for Workplace Efficiency: A Guide for UIS Employees

Rise Employee Development Series

In this session, we will delve into the transformative power of Artificial Intelligence (AI) and how it can be harnessed to significantly enhance your efficiency and productivity as an employee. Attendees will learn and explore a variety of AI tools and techniques tailored to streamline daily activities, foster innovative problem-solving, and facilitate a more efficient workflow.

Unveiling AI bias through a multidisciplinary lens - CFE

Unveiling AI bias through a multidisciplinary lens: Navigating AI's impact on diversity, communication, and equity

This event aims to shed light on the issue of bias in artificial intelligence (AI) by adopting an interdisciplinary approach. This event will bring together a panel of experts from various fields to uncover and examine the ethical and practical implications of AI bias. The multidisciplinary lens will enable a diverse exploration of how human biases subtly influence AI systems, perpetuating discrimination and ethical inconsistencies.

AI and Performance: Music, Medicine, and Mental Health

UIS Performance Psychology Panel Discussion

Co-Hosted by the AI Campus Learning Community

Join us for a panel discussion about the intersections of Artificial Intelligence and performance, broadly conceived, including: the nature of the physician-patient relationship; emotion regulation and mental health; music performance assessment and error correction.

Complimentary pizza lunch for event attendees.

Artificial Intelligence: Data Literacy, & Society

This talk explores insights and issues on leadership in AI, data analytics, and the importance of developing data literacy skills. It discusses how we can build a strong foundation of data (including practices such as data governance and master data management), which allows for more precise analysis and better understanding of policy impact on the society.  Ms. Gypalo will discuss implementing human-centered solutions for public sector challenges and breaking down barriers across levels of government—subjects that she is passionate about.

Artificial Intelligence and Creative Process - CFE

A Panel Discussion supported by UIS AI Campus Learning Community (AICLC) and Online, Professional, and Engaged Learning (OPEL)

  • Dr. Adam Larison, Art, Music, and Theatre
  • Ollie Brown, Arts, Design & Architecture, University of New South Wales
  • Dr. Larry Shiner Philosophy
  • Dr. Neetu Singh, Management Information Systems
  • Dr. Hei-Chi Chan, Mathematical Sciences

This session is open to all faculty, staff and students.

There will be complimentary pizza served.

For questions, contact hchan1@uis.edu