From the course: Data Science Foundations: Fundamentals

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Data ethics

Data ethics

From the course: Data Science Foundations: Fundamentals

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Data ethics

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- [Instructor] Let's start by stating the obvious. If your data project ends with everybody screaming at you, then something has gone wrong. And when it comes to data ethics, things can go very wrong very quickly. Now, let me give you just a different perspective for a moment. My background is in academic research. I have a PhD in social psychology, which is a research field, and I'm a tenured full-time professor at a university. Whenever an academic does research with people, there are a few general principles that apply. For instance, it is absolutely mandatory to have voluntary participation. That is people need to choose freely without coercion to participate in your study. Second, absolutely mandatory. There needs to be informed consent. People must know what they're getting into so they can make a free voluntary choice to participate. Now, two other things that are not necessarily mandatory, but you got to have a good reason, if you're not going to use them, are anonymity. That…

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