Question 1

What is Algorithmic Bias in simple terms?

Accepted Answer

When an AI system reflects the biases of its creators or training data, producing outputs that systematically favour or disadvantage certain groups.

Question 2

What is a simple example of Algorithmic Bias?

Accepted Answer

A facial recognition system trained mostly on lighter-skinned faces may struggle to accurately identify darker-skinned individuals — not because of intentional prejudice, but because of imbalanced training data.

Question 3

How is Algorithmic Bias used in the real world?

Accepted Answer

Hiring algorithms that learn from past successful hires can inadvertently encode historical biases — for example, penalising CV keywords more common in women's applications because past hires were predominantly male.

Question 4

Why is Algorithmic Bias important?

Accepted Answer

Bias in, bias out. The quality and diversity of training data is one of the most important — and often overlooked — factors in building fair AI systems.

Question 5

Where did the concept of Algorithmic Bias come from?

Accepted Answer

The study of algorithmic bias gained mainstream attention after a 2018 MIT Media Lab study found commercial AI systems misidentified the gender of dark-skinned women at rates up to 34% higher than lighter-skinned men.

What is Algorithmic Bias?

Everyday Example

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