AI Bias means favoring someone or something. AI bias focuses on training the machines with unbiased data, when Bias Data is fed to an AI Machine while creating the Model then the machine will also be biased.
Examples of AI Bias:-
1. We have seen that most artificial assistants have a female voice and not a male voice.
2. When a camera missed the mark on racial sensitivity, or when a software used to predict future criminals showed bias against black people.
3. Security systems are trained, based on an individual's race or gender rather than their actions, movements to commit the crime, etc. Facial recognition systems look at a diverse Training set, resulting in only detecting the race for which they are trained.
Study more about AI Bias at AI Bias Class 10