Data Ethics & Responsible AI – Virtual Training

This online course delves into the importance of Data Ethics & Responsible AI in data management organizations. This course identifies basic ethical principles pertaining to data and describes how these arise from three general ethical frameworks. Participants consider the Data Ethics implications of several case studies and current events in an interactive setting. Most importantly, participants learn how to recognize the Data Ethics aspects of the DCAM framework for application in real-world situations.

This course is a great fit for stewards of business data, information professionals seeking guidance in this emerging area, and professionals who have been asked to implement or participate in a data governance program. There are no formal prerequisites for this class—just a desire to learn about Data Ethics and a general understanding of data management principles.

This self-paced course is offered through our partnership with eLearning Curve. All course materials are provided; no prior reading is needed.


Dedicated Virtual Course Option For Your Company

To accommodate member firms seeking a private course, the EDM Council offers a dedicated LIVE virtual option. Please contact Eric Bigelsen for details.

Data Ethics Fundamentals Curriculum

  • Module 1: What’s driving the urgent focus on Data Ethics & Responsible AI?
  • Module 2: Why are Data Ethics & Responsible AI important?
  • Module 3: What are Data Ethics & Responsible AI?
  • Module 4: DCAM guidance for ethical data management
  • Module 5: Three steps to get started today
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Data Ethics Instructor

Diana L. Ascher, PhD, MBA

  • Founder of the Information Ethics & Equity Institute (IEEI)
  • Ph.D., Department of Information Studies, University of California, Los Angeles
  • M.B.A., Peter F. Drucker Graduate School of Management, Claremont Graduate University
  • B.A., Public Policy with concentrations in journalism and international policy, Duke University