Algorithmic fairness refers to the principle of ensuring that AI and machine learning algorithms make decisions without discrimination or bias. This involves designing and testing algorithms to treat all users and data points equitably. Promoting algorithmic fairness helps prevent unjust outcomes and supports ethical AI deployment in society.
In machine learning (ML) and deep learning (DL), dealing with data bias and fairness is crucial to ensure the accuracy…