When Numbers Lie: Algorithms and AI
Data is the new gold, mined and used (for better or worse) every single day. Algorithms and artificial intelligence (AI) are then used to suggest what movies we stream, or send us grocery store coupons in the mail. When our data is used mindfully and ethically, this can be beneficial. When it’s not, we could be putting ourselves at risk. Victoria Woodard Ph.D., associate teaching professor and director of undergraduate studies for the department of applied and computational mathematics and statistics at the University of Notre Dame, will help you understand how AI works (what is ChatGPT actually doing?!) and things to be concerned about when providing your data to others.
Experience the Event
Presented by Department of Physics
Data is the new gold, mined and used (for better or worse) every single day. Algorithms and artificial intelligence (AI) are then used to suggest what movies we stream, or send us grocery store coupons in the mail. When our data is used mindfully and ethically, this can be beneficial. When it’s not, we could be putting ourselves at risk. Victoria Woodard Ph.D., associate teaching professor and director of undergraduate studies for the department of applied and computational mathematics and statistics at the University of Notre Dame, will help you understand how AI works (what is ChatGPT actually doing?!) and things to be concerned about when providing your data to others.
Meet the Faculty: Victoria Woodard
Victoria Woodard Ph.D. is an associate teaching professor and director of undergraduate studies for the department of applied and computational mathematics and statistics at the University of Notre Dame. During a typical school year she teaches Statistical Methods (ACMS 30600) and Design of Experiments (ACMS 30810) to undergraduate majors, as well as Probability and Statistics (DS 60505) to students in the online masters of data science. Other coursework has included teaching introduction to statistics, introductory and intermediate probability, and python programming for data science. While research is not a main tenant of her current position, she is interested in learning more about the best practices for implementing technology in the statistics and mathematics classroom.