Twentieth International Conference on Interdisciplinary Social Science

Abstract

As artificial intelligence (AI) systems become increasingly integrated into sectors such as healthcare, finance, and education, the ethical challenges surrounding their design and deployment grow more critical. This study explores the pivotal role of women in addressing these challenges, particularly in mitigating issues such as algorithmic bias, data privacy, and transparency in decision-making processes. It argues that the underrepresentation of women in the AI sector exacerbates these ethical concerns and limits the potential for inclusive, responsible AI systems. Central to this discussion is the question: How can increased gender diversity, particularly the inclusion of women, help mitigate the ethical challenges posed by artificial intelligence and foster more inclusive AI development? Drawing on case studies and research, this paper discusses the importance of diverse gender perspectives in AI ethics and highlights initiatives aimed at increasing female participation in the field. Furthermore, it touches on the role of gender-responsive pedagogy in empowering women to contribute meaningfully to AI development. By promoting greater gender diversity and inclusive design principles, this article contends that the AI industry can create more equitable, ethical technologies that benefit society as a whole.