AI GLOSSARY
Explainable AI (XAI)
Explainable AI (XAI) refers to methods and techniques that make the decision-making processes of AI systems transparent and understandable to humans. Unlike black box models, explainable AI provides insights into how an AI model reaches its conclusions, allowing users to interpret, trust, and verify the outputs. This is particularly important in high-stakes applications like healthcare, finance, and autonomous systems, where understanding the rationale behind AI decisions is critical.
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AI-enabled Acoustic Intelligence for Anti-Submarine Warfare
Mind Foundry:
From detecting hidden threats to defending critical underwater infrastructure, Anti-Submarine Warfare (ASW) is a cornerstone of national security. AI...
5 min read
AI Assurance Explained: Trust, Safety, and Operational Impact
Mind Foundry:
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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