CREEDS-AI: CREEDS Workshop on AI Research Experience for Teachers

June-July, 2023

Computer Science Department, UT El Paso

What is CREEDS and CREEDS-AI?

CREEDS is Cybersecurity Research Experience for Educators through Data Science. For more information about the program, please see CREEDS website

CREEDS-AI workshop aims to introduce the participants to the state-of-the-art AI and ML algorithms in developing data-driven software solutions. After introducing the basic concepts of AI-Driven software solution, we overview unqiue challenges that stem from the data-driven nature of computation. In particular, we overview the core values of responsible AI and outlines notorious challenges such as fairness, accountability, and transparency. We then introduce the participants to the state-of-the-art testing, debugging, and repair techniques to address the challenges of AI-Driven software solutions. Finally, we overview open problems in developing responsibel AI-driven software solutions.

Workshop Components

Topics:

Links:

Introduction To Research Agenda for AI-Driven Software Solutions (June 3, 2023) Slides
Introduction to AI and Fairness in AI-Driven Software (June 13, 2023) Slides
Overviewe of COMPAS project (June 16, 2023) Machine Bias

Resources

Name:

Link:

Machine Bias Article Link
Machine Bias Dataset (Bias in COMPAS Software) Link
Article about Adult Census Dataset Link
Adult Census Dataset (1996) Link
Adult Census Dataset (2014-2018) Link
Home Credit Default Risk Dataset Link
Neighborhood Atlas Article Link
Neighborhood Atlas Dataset Link

Workshop Presenter and Mentor

  • Saeid Tizpaz-Niari (CS, University of Texas at El Paso)

CREEDS Leaderships

  • Deepak Tosh (CS, University of Texas at El Paso)
  • Martine Ceberio (CS, University of Texas at El Paso)
  • William Robertson (Teacher Education, University of Texas at El Paso)