In this age of visual management, Bayesian reasoning, machine learning and other statistical methods, it is increasingly important to understand how certain we are about the “facts” and how to visualize that uncertainty.
It is useful to distinguish between “data visualizations” and “information visualizations”. How do they differ and how can this distinction help us make more effective visualizations?
If an AI is designed and used as a component in a service, what is the role of the service manager throughout the lifetime of that AI?
Certain users of artificial intelligence systems make the assumption that by reversing the use of a neural network—solving for the inputs rather than solving for outputs—they can use AI towards creative ends. In my view, this approach is a misrepresentation of what we understand by creativity. However, this technique is very useful in analyzing human […]