Gender Biasness – A Victim of Artificial Intelligence-Based Development

In the machine learning process, sometimes due to vague assumptions, an algorithm that produces results that are prejudiced systematically is called an Algorithm Bias, Artificial Intelligence Bias, or Machine Learning Bias. There are several forms of Artificial Intelligence bias that promote gender biases. Machine learning models and training data sets are influenced by human developers’ cognitive biases. An algorithm gets hardcoded by such biases and incomplete data produces gender biases as well. If any information retrieved from a dataset is omitted by a cognitive bias, it brings biases. Thus, it is very important to ensure that the Artificial Intelligence data set should represent the complete population, and built-in biases must be overcome. In the present scenario, people’s behavior and opinions are very much influenced by Artificial Intelligence knowingly and unknowingly. In the design pattern of technologies, gender inequality has crept in due to the over-representation of men in the system. The present chapter focuses on the role of Artificial Intelligence and biased algorithms in the models of the Artificial Intelligence-based decision-making process. It is essential to understand as now Artificial Intelligence and HR/higher management are going together to manage human resources to enable organizations to achieve long-term goals.