AI GLOSSARY

Bias

Bias in AI refers to any preference or inclination that influences the outcomes of a model, which can be either beneficial or harmful. On the negative side, bias can lead to unfair or skewed results when the training data reflects societal inequalities or incorrect assumptions. However, certain types of bias, like inductive bias, are essential for AI to function.

All Terms
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Continue learning...

View Resources

13 min read
Defence and National Security AI Strategies - The Global Landscape
The Ukraine-Russia war has clearly demonstrated AI’s effectiveness on the battlefield. Across the globe, countries are devising strategies to...
5 min read
Digital Custodians for Ageing Infrastructure
The UK spends £1.5 billion each year maintaining its 100,000 bridges and structures across the road and rail networks. The average age of these...
7 min read
Bridge Inspections: 5 Challenges Every Asset Manager Faces
Inspections are the primary way we assess a bridge’s condition, but traditional methods have their limitations. AI and Machine Learning offer new...

Stay connected

News, announcements, and blogs about AI in high-stakes applications.