Bias in AI: How to Identify and Mitigate Algorithmic Discrimination
Artificial Intelligence (AI) has revolutionized the way we live and work. From healthcare to finance, education to transportation, AI has brought efficiency and accuracy to various sectors. However, as AI becomes more prevalent, there are growing concerns about algorithmic bias and discrimination. In this article, we will explore what algorithmic bias is and how to identify and mitigate it. What is algorithmic bias? Algorithmic bias is the phenomenon where AI algorithms exhibit prejudice or discrimination against certain groups of people. This can happen unintentionally if the training data used to create the AI system is biased or if the algorithms themselves are designed in a biased manner. This can result in unfair treatment of certain groups of people and can perpetuate existing societal inequalities. Identifying algorithmic bias: To identify algorithmic bias, it is important to examine the data used to train the AI system. If the data is biased, the algorithm will learn that bias