Bias in AI and real-world consequences in AI for Everyone - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the sentence to explain what bias in AI means.

AI for Everyone

Bias in AI occurs when the system [1] certain groups unfairly.

Drag options to blanks, or click blank then click option'

Afavors

Bignores

Ctreats

Davoids

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'treats' because it sounds neutral, but bias is about unfair favoring.

Bias in AI means the system favors or disadvantages certain groups unfairly.

2fill in blank

medium

Complete the sentence to identify a common source of bias in AI.

AI for Everyone

One common source of bias in AI is [1] data that reflects past inequalities.

Drag options to blanks, or click blank then click option'

Aclean

Bbiased

Crandom

Dbalanced

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'clean' or 'balanced' which mean the opposite of biased.

Biased data contains unfair patterns from the past, causing AI to learn those biases.

3fill in blank

hard

Fix the error in the statement about AI bias consequences.

AI for Everyone

Bias in AI can lead to [1] decisions that affect people's lives unfairly.

Drag options to blanks, or click blank then click option'

Aneutral

Baccurate

Crandom

Dunfair

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'random' thinking bias means randomness.

Bias causes unfair decisions, not random or neutral ones.

4fill in blank

hard

Fill both blanks to describe how bias can enter AI systems.

AI for Everyone

Bias can enter AI through [1] data and [2] design choices.

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Abiased

Brandom

Chuman

Dneutral

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'random' or 'neutral' which do not cause bias.

Bias enters AI from biased data and human design decisions.

5fill in blank

hard

Fill all three blanks to explain how to reduce bias in AI.

AI for Everyone

To reduce bias, AI developers should use [1] data, apply [2] testing, and involve [3] perspectives.

Drag options to blanks, or click blank then click option'

Adiverse

Bregular

Cmultiple

Dlimited

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'limited' which reduces variety and increases bias.

Using diverse data, regular testing, and multiple perspectives helps reduce bias.