Algorithmic bias in AI

#artificialintelligence 

Algorithmic bias in AI is also defined as machine learning bias, where an algorithm performs systematically and make assumptions in the machine learning process. Bias comes up with different factors which does not contain little design of the algorithm and it under designs by planning with the collected data. It helps in training the model by the bias algorithm. Considering the real-world example, we find usage of algorithmic bias in various places like social media platforms and in the search engine. Sometimes even we face difficult problems with the algorithmic bias in case of its sequence and its performance by making various wrong outcomes.