AI · Theory

5 Algorithms that Demonstrate Artificial Intelligence Bias

Theory

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5 Algorithms that Demonstrate Artificial Intelligence Bias

5 Algorithms that Demonstrate Bias is about impact, not layers. Take a side with a reason: who is helped, who is hurt, what data was used, who is accountable. Accuracy can look high while a group is treated unfairly.

5 Algorithms that Demonstrate Artificial Intelligence Bias — output: harm / data / mitigation. Accuracy ≠ fairness.

For 5 Algorithms that Demonstrate Bias: one concrete harm + one mitigation (better data, audit, XAI, regulation). Don’t preach.

Exam tip

One harm + one mitigation.

Example

# 5 Algorithms that Demonstrate Artificial Intelligence Bias
print("harm       : who gets a worse outcome?")
print("data issue : bias or missing consent")
print("mitigation : audit / human review / better data")

5 Algorithms that Demonstrate Artificial Intelligence Bias — output: harm / data / mitigation. Accuracy ≠ fairness.

Short notes

Def5 Algorithms that Demonstrate Bias — people + power + data.
Rule5 Algorithms that Demonstrate Bias — fairness ≠ accuracy.
Remember5 Algorithms that Demonstrate Bias — who is accountable?

# 5 Algorithms that Demonstrate Artificial Intelligence Bias print("harm : who gets a worse outcome?") print("data issue : bias or missing consent") print("mitigation : audit / human review / better data")

5 Algorithms that Demonstrate Artificial Intelligence Bias

Example

Short notes

Questions

5 Algorithms that Demonstrate Artificial Intelligence Bias

Example

Short notes

Questions