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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
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Presented in partnership with:
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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
Module 0. About the Course (4 min)
Module 1. What’s Driving the Urgent Focus On Data Ethics (20 min)
- More Data, Shared Faster
- Quantum Computing
- Effects Of Global Crisis
- Technological Innovation
- New Information Context
- Benefits
- Harms
- Many Factors Driving Data Ethics Focus
Module 2. Why Are Data Ethics Important? (25 min)
- Data Professionals & The Public Cloud
- Lag Between Innovation & Regulation
- Data Breaches & Consumer Trust
- How To Create Trust
- Evolving Trust
- Existential Issues Of The Next Decade
- Trust In The Enterprise
- Data Sovereignty
- Trust During A Crisis
- Data Ethics Responsibility
Module 3. What Are Data Ethics? (75 min)
- What Are Data Ethics?
- What Are Ethics?
- What Is Good?
- Classic & Contemporary Ethics Experiments
- Complexity In Decision Making
- Change Ahead
- Ethical Frameworks
- Assumptions & Outcomes
- Topics Of Ethical Concern In Data Management
- What Does Ethics Have To Do With Data?
- Moral Principles & Practices
- Data Ethics Definition
- Why Should I Care?
- Principles Of Ethical Data Management
Module 4. DCAM Guidance for Ethical Data Management (36 min)
- Data Ethics In DCAM
- Ethics & Organizational Culture
- DCAM – Data Capability Assessment Framework
- Integrated Data Ethics Concepts
- Component 1.0
- Component 2.0
- Component 3.0
- Component 4.0
- Component 5.0
- Component 6.0
- Component 7.0
- Component 8.0
Module 5. Three Steps Toward Data Ethics Actualization (27 min)
- Data Ethics Deliverables
- From Action To Theory
- Steps Toward Data Ethics Actualization
- DCAM Scoring
- Data Ethics Goals
- Catalyze
- Strategize
- Operationalize
- Steps To Data Ethics Actualization
- What’s Next?
Click here to download a more detailed outline of this course.
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This exam tests knowledge and understanding of core concepts, principles, and terminology of data ethics & responsible AI.
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You will be tested in these areas:
- The effects of recent technology and data management changes
- Driving forces of attention to data ethics
- Data risks, data breaches, and trust in data
- Data ethics definitions, scenarios, and examples
- Three ethical frameworks and the characteristics of each
- Data ethics and the DCAM framework
- Getting started with data ethics
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Additional Information
Number of Questions: 23
Time Limit: 46 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about exams.
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Course Review 
Course Review from 11/5/2023