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Data Ethics & Responsible AI Fundamentals – On-Demand eLearning Training

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Details

This online course delves into the importance of data ethics & responsible AI in data management organizations. It identifies basic ethical principles pertaining to data and describes how these arise from three general ethical frameworks. Participants will consider the data ethics implications of several case studies and current events. Participants will learn how to recognize the data ethics aspects of the DCAM framework for application in real-world situations.

You will learn:

  • What data ethics really means
  • The many forces driving urgency of data ethics
  • The benefits and harms that can result from data
  • The risks of data breaches
  • The importance of trust and how it is created
  • How data ethics integrates into the 8 components of DCAM
  • The very strong relationships of data ethics and data governance
  • Three steps toward data ethics actualization

 

 Presented in partnership with:

Click to play Course Sneak Peek

This course is geared toward:

  • Stewards of business data
  • Information professionals seeking guidance in this emerging area
  • Professionals who have been asked to implement or participate in a data governance program

Data Ethics & Responsible AI 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

Topics

Data Ethics Data Governance DCAM