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.
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Industrial AI in 2026: Turning Uncertainty into Opportunity
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With pilot project failure rates as high as 80%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...
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Our civil infrastructure is entering an accelerated phase of deterioration, and numerous challenges are hindering effective infrastructure...
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