Interpretability is a major concern when it comes to artificial intelligence (AI) models. Since these models are often opaque, it can be difficult to understand how or why they produce the results they do. This lack of interpretability can be a barrier to adoption of AI technology, since stakeholders may not be comfortable using a…
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Neural networks that are difficult to interpret
Neural networks are increasingly being used for a variety of applications, from facial recognition to drug development. However, as neural networks become more sophisticated, they also become more difficult to interpret. This lack of interpretability can be a problem when neural networks are used for critical applications, such as healthcare, where it is important to…