Ethics in Predictive Analytics with a Data Governance Twist

Friday, April 19 | 8:00AM–8:45AM PT | Centennial C, Third Floor
Session Type: Breakout Session
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

Presenters

  • Julie Alig

    Executive Director, Strategic Analysis & Data Management, University of Massachusetts Lowell
  • Denise Nadasen

    Asst. Vice President of Institutional Data & Analytics, Association of Public and Land-grant Universities (APLU)

Resources & Downloads

  • Ethics in Predictive Analytics with a Data Governance Twist

    Updated on 11/17/2022