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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| 6.4 The Ethics of Artificial Intelligence |
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| 1.3 The Ethics of Artificial Intelligence |
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| 6.9 The Ethics of Artificial Intelligence |