5 min read
Insuring Against AI Risk: An interview with Mike Osborne
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
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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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...
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