AI GLOSSARY

Responsible AI

Responsible AI refers to the development and deployment of artificial intelligence systems in a manner that is ethical, transparent, and aligned with societal values. It emphasises fairness, accountability, privacy, and the minimisation of biases to ensure that AI technologies benefit individuals and communities without causing harm. Responsible AI practices also include ensuring that AI decision-making processes are understandable and accessible, fostering trust and inclusivity.

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7 min read

Machine Learning Types and Their Infrastructure Use Cases

by Kimberly Joly

AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each...

6 min read

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...

4 min read

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...

AI GLOSSARY

Responsible AI

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