ARTIFICIAL INTELLIGENCE
AI bias happens when an artificial intelligence system produces unfair or unequal results because of the data, assumptions, or decisions used to create it.
EXPLORE
Facial recognition systems can perform differently for different groups of people when their training data is not diverse enough.
AI hiring tools can learn patterns from older hiring decisions and may repeat unfair patterns found in historical data.
Recommendation systems decide what content people see. Their choices can influence what information reaches different users.
THINK CRITICALLY
Not necessarily. AI systems are created by people and trained using data created by people.
That means the way we collect data, design systems, and evaluate results can affect how fair an AI system is.
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Explore real-life examples of how technology can affect people and why responsible design matters.
Explore Real-Life Biases