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 for Sensor Fusion: Sensing the Invisible
by Nick Sherman
In Defence and National Security, mission-critical data often emerges from a multitude of different sensor types. With AI, we can bring this...
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Insuring Against AI Risk: An interview with Mike Osborne
by Nick Sherman
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
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