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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The Business of AI in UK Defence and National Security
by Al Bowman
While the technical aspects of an AI system are important in Defence and National Security, understanding and addressing AI business considerations...
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The 8-Step Guide to Deploying Machine Learning in Infrastructure
by Kimberly Joly
The adoption of AI and Machine Learning is complex, and attempting it in civil engineering can feel daunting. This guide outlines the 8 steps...
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