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IN Topics in Computer Science: 7351.D2.2

CodeHS Lessons

Investigate imbalances in training data in terms of gender, age, ethnicity, or other demographic variables that could result in a biased model, by using a data visualization tool.

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5.1 The Ethics of Artificial Intelligence
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1.4 The Ethics of Artificial Intelligence
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4.6 Bias in Data Analytics
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2.10 The Ethics of Artificial Intelligence
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1.3 The Ethics of Artificial Intelligence
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8.11 Bias in Data Analytics
9.4 The Ethics of Artificial Intelligence
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10.11 Bias in Data Analytics
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6.4 The Ethics of Artificial Intelligence
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1.3 The Ethics of Artificial Intelligence
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1.3 The Ethics of Artificial Intelligence