Impact of artificial intelligence in closing the gender gap among women-led industries: a developing country perspective

Abstract

This study investigates the multifaceted relationship between artificial intelligence (AI), gender diversity, and business organizations administered primarily by women. The study focuses predominantly on developing nations, with Bangladesh serving as a case study. This study examines the detailed interrelationship between artificial intelligence (AI) and gender diversity by employing a substantial body of scholarly literature and empirical data where a sample size of 248 has been taken to conduct an online survey. The findings of the study reveal that artificial intelligence (AI) has the capacity to both reduce bias and enhance disparities. The study demonstrates the importance of mentorship opportunities for empowering women and furthering gender equality in AI-driven fields. In addition, the report includes recommendations for businesses, such as emphasizing the importance of including both genders in AI education, utilizing ethical AI algorithms, and nurturing inclusive work environments. Moreover, this technological advancement offers numerous opportunities for future scholarly research, thereby encouraging a greater emphasis on the examination of artificial intelligence's impact on gender equality and its potential contributions to sustainable development. This paper anticipates an alternative scenario in which the implementation of artificial intelligence (AI) addresses the challenges and obstacles associated with gender disparity in industries primarily run by women.