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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AI-Powered Infrastructure Inspections for Local Authorities
Leanne McGregor:
Local authorities need to support their funding requests with high-quality data. The problem is that they can't obtain this data at the required...
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AI Assurance Explained: Trust, Safety, and Operational Impact
Alistair Garfoot:
The UK-USA Technology Prosperity Deal sees overseas organisations pledging £31 billion of investment into UK AI infrastructure. As AI investment...
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