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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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.