Women Shaping the Landscape of AI

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Authors: Jyoti Suri, Praveen Kumar Pandey, Mohd Asif Shah
Cited by: 0

Abstract

The chapter discusses the critical involvement of women in the formation of the artificial intelligence (AI) landscape, emphasizing their historic contributions and current challenges in the male-dominated STEM fields. This chapter will start by providing a general picture of powerful participation of women in the areas that have changed our world and the current gender gaps in the aspect of AI. The chapter highlights the ongoing gender gaps within the subject of AI careers. Even though, around the world, increasingly more people have come to realize the significance of diversity, as it relates to innovation, in terms of business performance, less than 30% of AI professionals are women and this represents systemic obstacles. Paying attention to the immediate necessity of diversity, the chapter touches on the fact that the underrepresentation of women poses the threat of embodying the biases in AI systems and restricting the range of the technology to serve a variety of people. The cases of biased AI results are discussed, e.g., systems that do not identify dark-skinned faces or gender-based tropes in the language of recommendations. The chapter affirms a course of actionable strategies to enhance the number of women involved in AI that involve focused education programs and mentorship opportunities, as well as investments in start-ups founded by women. The examples of successful programs, including Girls Who Code and Women Tech-makers by Google, provide an overview of how the given gaps can be bridged through early intervention and retention programs. Other new markets are mentioned in the narrative, such as FemTech, which has shown the potential economic impact that women drivers in the field of tech innovation may have. Lastly, the chapter honors an AI pioneer woman like Dr. Fei-Fei Li and Mira Murati as role models who can inspire future younger women to pursue tech careers. Specific suggestions are given to address the barriers of bias during hiring, inclusivity in the workplace, and opportunities to receive funding equally. By overcoming these obstacles, the chapter imagines the future where contributions of women to AI will be acknowledged, and their voices will shape the creative progress of the field, and AI industry will serve as an example of diversity and equality.

Fields of Study & Subjects

Ethics and Social Impacts of AI Gender and Technology in Education Career Development and Diversity

Publication details

Journal / source
CRC Press eBooks
Pages
131–150
Publication date
12 January 2026
Language
EN
Document type
Book chapter