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Black-box AI refers to machine learning models that are opaque and have hidden inner workings
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They can make highly accurate predictions but lack transparency and explainability
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Researchers combine black-box models with interpretable white-box models to increase legitimacy
Artificial intelligence (AI) has become deeply ingrained in our daily lives, powering everything from digital assistants to recommendation systems.
However, some of the most accurate AI systems are shrouded in secrecy about how exactly they work. These opaque models are known as black-box AI.
What is Black-Box AI?
Black-box AI consists of machine learning models where the logic and calculations leading to the output are not visible. The algorithms powering black-box models are too complex for even their designers to fully comprehend.
Some examples of popular black-box models include neural networks, support vector machines, and deep learning architectures. These
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