Part 8/12:
The introduction of quantum computing into machine learning could exacerbate the "black box" problem, where the decision-making processes of deep neural networks (DNNs) become increasingly opaque. While traditional tools allow for some insight into DNNs' functioning, the complexity introduced by quantum techniques may make it challenging to understand how decisions are made based on data. This could impede transparency and accountability in AI applications.