Gender Bias in AI

Gender bias in AI refers to the unintended favoritism or stereotypes that AI systems can exhibit based on gender. These biases often come from training data that reflects societal inequalities or stereotypes, causing AI to make biased decisions or generate biased outputs—such as associating certain jobs or qualities with only one gender. This can lead to unfair treatment or reinforcement of stereotypes. Addressing gender bias involves identifying these issues, improving the data used, and designing AI systems to treat all genders fairly, promoting equality and reducing harmful biases in technology.