MATHEMATICS & ETHICS
ALGORITHMS, FAIRNESS, AND SOCIAL GOOD
April 8, 2022 – virtual only
3 p.m. – 4 p.m. Invited Talk by Dr. Maria De-Arteaga and Q&A
“Sources and consequences of algorithmic bias”
4 p.m. – 5 p.m. Panel Discussion and Q&A
Machine learning (ML) is increasingly being used to assist experts in consequential domains. In her talk, Dr. Maria De-Arteaga will characterize risks of algorithmic bias and provide an overview of its sources and consequences. She will present findings from her research across domains, including gender bias in automated recruiting and the effect of differential victim crime reporting on predictive policing systems. She will conclude with takeaways for the design and deployment of responsible ML.
INVITED SPEAKER
Dr. Maria De-Arteaga is an Assistant Professor at the Information, Risk and Operations Management Department at the University of Texas at Austin, where she is also a core faculty member in the Machine Learning Laboratory and an affiliated faculty of Good Systems.
Dr. De-Arteaga holds a joint PhD in Machine Learning and Public Policy and a M.S. in Machine Learning, both from Carnegie Mellon University, as well as a. B.S. in Mathematics from Universidad Nacional de Colombia. Her research focuses on the risks and opportunities of using machine learning to support experts’ decisions in high-stakes settings, with a particular interest in algorithmic fairness and human-AI collaboration. Dr. De-Arteaga also has the background and experience in investigative journalism.
PANELISTS – Panelists-bios
Dr. Vaughn Baltzly Assistant Professor at the Philosophy Department, Texas State University.
Sami Alsheikh Software engineer at Meta, Engineer-In-Residence at the Computer Science Department, Texas State University.
Dr. Ted Lehr—panel moderator Senior Lecturer at the Computer Science Department, Texas State University, formerly Data Architect for the City of Austin.
This event is supported by the Texas State University Departments of Mathematics, Computer Science, and Philosophy, and by Texas Mathworks.