Artificial Intelligence

Bias (AI)

Also known as: Bias in AI & Algorithmic bias

Definition

in AI refers to systematic errors or unfair outcomes caused by skewed , assumptions, or design.

In practice

Identified through testing outputs across different scenarios and user groups.

The reality

is difficult to eliminate completely and often reflects underlying issues in .

Also known as

Bias in AI & Algorithmic bias

Plain English

When AI is unfair or skewed.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is bias in AI?

It is when AI produces unfair or skewed results due to or design.

What causes AI bias?

Biased or flawed assumptions.

Why is AI bias a problem?

It can to unfair or inaccurate outcomes.

How can AI bias be reduced?

By improving diversity and testing outputs.

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01/20