Artificial Intelligence and Gender Inequality

Critical issues and perspectives

Abstract

This paper explores the intricate relationship between Artificial Intelligence (AI) and gender inequality. It analyses the uncritical adoption of AI, highlighting how existing societal biases are often embedded within algorithms and data sets, leading to discriminatory outcomes. By examining how AI can perpetuate gender stereotypes in various domains, from recruitment processes to language models, we also discuss the potential for AI to exacerbate existing digital divides between men and women. It argues for a more ethical and inclusive approach to AI development, emphasizing the need for diverse perspectives and a critical awareness of the biases that can undermine fairness and equality. By addressing these challenges, AI can be harnessed as a tool to promote a more equitable and just society.