Artificial Intelligence
Bias (AI)
Also known as: Bias in AI & Algorithmic bias
Plain English
When AI is unfair or skewed.
Definition
glossaryBiasBias is a systematic distortion in thinking or data that affects the accuracy of research or decision-making.Open glossary term in AI refers to systematic errors or unfair outcomes caused by skewed glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term, assumptions, or glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term design.
In practice
Identified through testing outputs across different scenarios and user groups.
The reality
glossaryBiasBias is a systematic distortion in thinking or data that affects the accuracy of research or decision-making.Open glossary term is difficult to eliminate completely and often reflects underlying issues in guideTraining DataWhat training data is, how it shapes what an AI model knows and assumes, and what product and design teams need to understand about its role in AI product quality.Open guide.
Also known as
Bias in AI & Algorithmic bias
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 glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term or design.
What causes AI bias?
Biased guideTraining DataWhat training data is, how it shapes what an AI model knows and assumes, and what product and design teams need to understand about its role in AI product quality.Open guide or flawed assumptions.
Why is AI bias a problem?
It can glossaryLeadA lead is a potential customer who has shown interest in a product or service, typically by providing contact information or engaging with content.Open glossary term to unfair or inaccurate outcomes.
How can AI bias be reduced?
By improving glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term diversity and testing outputs.
Related Services
Related Terms