AI GLOSSARY
Transparency
Transparency in AI refers to the extent to which the workings, decision-making processes, and underlying data of an AI system are open and understandable to users. It involves providing clear explanations of how models make decisions and the factors influencing outcomes, making it easier for stakeholders to trust and validate the system. Transparency is crucial for accountability, especially in high-stakes applications, where understanding the reasoning behind AI decisions can have significant ethical and legal implications.
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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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