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- Criado-Perez, Caroline. Invisible Women: Exposing Data Bias in a World Designed for Men. Abrams Press, 2019.
- Shen, Helen. โAI in Medicine Struggles to Make the Right Diagnosis for Women.โ Nature, 620, no. 7974, 2023, pp. 620โ622. https://www.nature.com/articles/d41586-023-02364-9 Accessed 11 Sept. 2025.
- European Institute for Gender Equality (EIGE). Gender Bias in Artificial Intelligence and Automated Decision-Making. EIGE, 2022. https://eige.europa.eu Accessed 11 Sept. 2025.
- Recommendation on the Ethics of Artificial Intelligence. UNESCO, 2021. https://unesdoc.unesco.org Accessed 11 Sept. 2025.
- European Commission. Ethics Guidelines for Trustworthy AI. High-Level Expert Group on AI, 2019. https://digital-strategy.ec.europa.eu Accessed 11 Sept. 2025.
- OECD Principles on Artificial Intelligence. OECD, 2019. https://oecd.ai/en/ai-principles Accessed 11 Sept. 2025.
- Gebru, Timnit. โRace and Gender in AI Ethics: Intersectional Approaches.โ AI & Society, 38, no. 3, 2023, pp. 641โ655.
- Girls Who Code. About Us. Girls Who Code, 2025. https://girlswhocode.com Accessed 11 Sept. 2025.
- Women in AI. Leadership Lab Programme. Women in AI, 2025. https://womeninai.co Accessed 11 Sept. 2025.
- Inter-American Development Bank. WeXchange: Connecting Women Entrepreneurs in STEM with Mentors and Investors. IDB, 2024. https://wexchange.co Accessed 11 Sept. 2025.
- Africa Women in Tech. Programs and Initiatives. Africa Women in Tech, 2025. https://africawomenintech.com Accessed 11 Sept. 2025.
- Jha, Shweta. โAI for Rural Women: How Indiaโs Women-Led Collectives Are Designing Local Tech Futures.โ MIT Technology Review India,