Ethical AI & Data Science

Ethical AI & Data Science: As statisticians, data scientists, students, and teachers, we collect data, store data, transform data, visualize data, and ultimately impact how data are used. With this responsibility, it is imperative that we confront the ways in which data and algorithms have been used to perpetuate biases and eliminate discriminatory choices and algorithms in our own work. Join a conversation where we discuss the landscape of ethics in AI and data science. Consider questions to ask throughout the data lifecycle and walk away with tools to incorporate into your work with data.

Bio: Emily Hadley is a Research Data Scientist with the RTI International Center for Data Science. Her work spans several practice areas including health, education, social policy, and criminal justice. Emily holds a Bachelor of Science in Statistics with a second major in Public Policy Studies from Duke University and a Master of Science in Analytics from North Carolina State University.