Data bias occurs when data is systematically skewed or unrepresentative of the population it is supposed to reflect. It can lead to inaccurate conclusions and decisions based on flawed data.
In machine learning (ML) and deep learning (DL), dealing with data bias and fairness is crucial to ensure the accuracy…
Yes, there are several ethical considerations associated with AI. AI technology has the potential to impact various aspects of our…