Artificial Intelligence & Machine Learning in Cybersecurity - Cyber Startup Observatory

Also, there are potential issues arising from the poor quality and/or inadequate quantity of data on which to base predictions, as well as the predictive capability of the algorithms used to infer probabilistic outcomes. Algorithmic transparency might be a serious issue in particular in regulated industries, especially when implicating people, and it is not easy to address this problem as just because someone has access to the ML code, it does not always equal being able to explain how the software works, mainly because there are ML algorithms that do not behave in a wholly predictable manner.