Introduction to Data Ethics
Learning Outcomes
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What’s Included
Introduction to Ethical Issues
Introduction to Ethical Issues
As the power of technology and analytics grows, we can increasingly accomplish tasks using data that raise ethical issues and questions. This lesson will teach you about this idea and introduce the emerging field of data ethics.
Ethical and Unethical Data Use
Ethical and Unethical Data Use
Ethics may seem like an abstract concept that's not relevant to your work, but it is. In this lesson, you'll learn about some examples of ethical and unethical practices that will show you why this field matters.
Evaluating Choices
Evaluating Choices
Choices are the building block of ethical decisions. Learn how to evaluate choices using the concepts of values and norms in this lesson.
Making Ethical Decisions
Making Ethical Decisions
Making the right decisions is key to acting in an ethical way. Learn about some decision making frameworks in this lesson.
Data Ethics and Society
Data Ethics and Society
Data ethics issues are increasingly affecting society as a whole. Learn how data affects society and how to deal with ethical issues in this lesson.
Using Data Fairly
Using Data Fairly
Fairness is a concept often mentioned in ethical discussions, but it can be very difficult to define. Learn about different definitions of fairness, and the important concept of discrimination, in this lesson.
Implementing Transparency
Implementing Transparency
As technology and analytics become more complex, there is an increasing demand for transparency in how companies use data. We'll learn what this really means in this lesson.
Understanding Privacy Considerations
Understanding Privacy Considerations
Privacy is an ethical issue that has received a large amount of attention in recent times. Learn how to protect people's privacy rights using technical and non-technical solutions in this lesson.
Data and Accountability
Data and Accountability
As new risks emerge from the use of data and analytics, a question that's often asked is who is accountable when decisions are made by machines rather than people? This is an issue we'll consider in this lesson.
Who Can Be Held Responsible?
Who Can Be Held Responsible?
A key part of accountability is figuring out who should be responsible for data driven actions in a company. In this lesson, we'll learn about the criteria to consider in answering this question and see that the answer is complex.
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