Can AI Show Bias When Generating Random Numbers? Why Not?

When it comes to ai and its various applications, one of the commonly held beliefs is that AI does not have a point of view, especially when it comes to things such as generating random digits typically devoid of any subjectivity. This however is not quite so straightforward. AI models that use deep learning techniques can in fact learn biases inherent in the training data. This leads to the following query: Do AIs run the risk of being subject even where they perform the simplest and the most objective activity, such as generating random numbers?

The short answer is, yes. AI is capable of being biased and it may even be the case when it is a question of random number generation. Here is the explanation.

1. Nature of Bias in Deep Learning Models

neural networks, the most commonly adopted ai technology nowadays and its applications, is data driven learning. The systems are trained to comprehend and learn patterns from information, make guesses and come to conclusions regarding the information they have received. While this presents great advantages in tasks such as text or image processing, it also allows existing data-centric prejudices to affect the decision making process. If biased data is used to train the model, this kind of imprint may also be created and…