Ethics in Predictive Analytics with a Data Governance Twist

Institutions use analytics to improve student success, but ethical concerns with the use of student data in predictive analytics are often overlooked. In this session, you'll be presented with ethical issues that institutions face and an ethical framework to engage institutional leaders. You'll be given opportunities to evaluate scenarios from an ethical perspective. A cross-functional, organic approach to protecting students and the institution will be introduced. You'll leave with (1) a greater understanding of how to identify bias in data and analysis, and (2) a framework that can be used to address ethical and data issues effectively.

Outcomes: Identify bias in the use of data in predictive analytics * Understand the ethical frameworks around predictive analytics * Develop an action plan to address ethical issues effectively