Data Responsibility

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Data Responsibility

Coursera · Beginner ·🛡️ AI Safety & Ethics ·1w ago
Before you work with data, you must confirm that it is unbiased and credible. After all, if you start your analysis with unreliable data, you won’t be able to trust your results. In this course, you will learn to identify bias in data and to ensure your data is credible. You’ll also explore open data and the importance of data ethics and data privacy. By the end of this course, you will be able to: - Explain what is involved in reviewing data to identify bias - Discuss the difference between biased and unbiased data - Identify different types of bias including confirmation, interpretation, an…
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