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.
5 min read
Digital Custodians for Ageing Infrastructure
by Mind Foundry
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
by Claire Butcher
Inspections are the primary way we assess a bridge’s condition, but traditional methods have their limitations. AI and Machine Learning offer new...
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News, announcements, and blogs about AI in high-stakes applications.