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.
5 min read
AI at the Edge: Transforming Defence Operations
Al Bowman:
At the edge, every second counts, and every decision matters. To gain and hold an advantage, Defence must design AI and Machine Learning for where...
9 min read
The Drone Blockade: Airports Grapple with A Growing Threat
Nick Sherman:
An uninvited buzz of drones in the air is forcing airports worldwide to rethink their approach to security. The implications are serious, impacting...
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News, announcements, and blogs about AI in high-stakes applications.