Leveraging AI to Empower Women Entrepreneurs: Navigating Opportunities, Overcoming Challenges, and Fostering Inclusive Growth


Authors : Rakshita Verma; Dr. Mini Amit Arrawatia

Volume/Issue : Volume 9 - 2024, Issue 11 - November


Google Scholar : https://tinyurl.com/5n72ycam

Scribd : https://tinyurl.com/fnt5ncxd

DOI : https://doi.org/10.38124/ijisrt/24nov444

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Abstract : Artificial intelligence is currently revolutionizing the entrepreneurial market. Technology offers women entrepreneurs opportunities to further break into the male-occupied entrepreneurship world, as expressed in two perspectives, that is, it is a tool and a challenge. This research paper discusses the impact of artificial intelligence on women entrepreneurs, and the associated opportunities, challenges, and strategies. The primary thesis of the analysis is how artificial intelligence affects women and women-led businesses. The analysis of the modern applications of AI demonstrates women’s access to opportunities such as cross-cultural markets, improved decision-making processes, and easy predictability of the future using trends. However, the major barriers include gender-inclusivity barriers, limited access to AI, and a gap in digital literacy. The paper offers suggestions, including investing in the education of women on the use and adoption of AI, developing AI that is inclusive and supports women entrepreneurs, and a mission of friendly programs to improve the entrepreneurial business environment. The presentations of AI as a tool and a challenge for women entrepreneurs are helpful approaches that the context offers. The research provides a critical resource in the analysis of the impact of AI on women entrepreneurs.

Keywords : Artificial Intelligence, Women Entrepreneurs, Inclusive Growth, Gender Bias, Digital Skills, AI Empowerment.

References :

  1. Baracas, S. & Selbst, A.D., 2016. Big data's disparate impact. California Law Review, 104(3), pp. 671-732.
  2. Buolamwini, J. & Gebru, T., 2018. Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, pp. 77-91.
  3. Chouldechova, A. & Roth, A., 2018. The frontiers of fairness in machine learning. ACM Conference on Fairness, Accountability, and Transparency, pp. 117-122.
  4. David Paton, J., Martinez, R. & Lee, H., 2022. AI and social sustainability: Advancing gender equality through technology. Sustainable Development Journal, 30(9), pp. 689- 702.
  5. Dastin, J., 2021. Amazon to pay $62 million to settle U.S. charges it stole driver tips. Reuters. Available at: https://www.reuters.com/article/us-amazon-com-ftc- idUSKBN2BQ24Q.
  6. Eubanks, V., 2018. Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.
  7. Friedler, S.A., Scheidegger, C., Venkatasubramanian, S., Choudhary, S., Hamilton, E.P. & Roth, D., 2019. A comparative study of fairness-enhancing interventions in machine learning. Proceedings of the Conference on Fairness, Accountability, and Transparency, pp. 329-338.
  8. Gender Equality in the Age of AI. 2021. UNESCO. Available at: https://en.unesco.org/genderequalityai.
  9. Gray, M.L., Sweeney, L. & Yablon, Y.B., 2021. Can AI help achieve gender equality? American Economic Review: Insights, 3(2), pp. 241-254.
  10. Hutton, L. & Henderson, K., 2019. Towards a feminist AI: Interrogating gender stereotypes in AI assistants. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, pp. 205-211.
  11. Kannan, S., Allen, K., Mishra, S. & Patel, J., 2021. Gender classification and intersectional bias in AI: Review, challenges, and mitigation strategies. Frontiers in Big Data, 4, p. 33.
  12. Pattanaik, S. & Mishra, A., 2024. Artificial intelligence as a tool for gender equality: Empowering women across sectors. AI and Society Journal, 38(1), pp. 120-136.
  13. Patil, S.D., Husainy, A. & Hatte, P.R., 2024. Empowerment of women through education and training in artificial intelligence. In: AI Tools and Applications for Women’s Safety. Hershey, PA: IGI Global, pp. 18. doi 10.4018/979-8-3693-1435-7.ch008.
  14. Roopaei, M., Mosleh, M. & Navimipour, N.J., 2021. Addressing gender imbalance in AI: Challenges and solutions for women's inclusion. IEEE Access, 9, pp. 114569-114583.
  15. Sadok, M. & Assadi, N., 2023. Artificial intelligence in bank credit analysis for women- led SMEs: The case of Lenddo in Ethiopia. Journal of Financial Innovation, 7(2), pp. 78- 94.
  16. Shrestha, S., Khanal, P. & Timsina, S., 2022. Gender bias in machine learning algorithms: Detection and mitigation strategies. Computational Intelligence Review, 45(7), pp. 143-160.
  17. Vyawahare, H., Khandelwal, S. & Rathod, S., 2024. Artificial intelligence in detecting and preventing online harassment. In: AI Tools and Applications for Women’s Safety. Hershey, PA: IGI Global, pp. 22. doi: 10.4018/979-8-3693-1435-7.ch002

Artificial intelligence is currently revolutionizing the entrepreneurial market. Technology offers women entrepreneurs opportunities to further break into the male-occupied entrepreneurship world, as expressed in two perspectives, that is, it is a tool and a challenge. This research paper discusses the impact of artificial intelligence on women entrepreneurs, and the associated opportunities, challenges, and strategies. The primary thesis of the analysis is how artificial intelligence affects women and women-led businesses. The analysis of the modern applications of AI demonstrates women’s access to opportunities such as cross-cultural markets, improved decision-making processes, and easy predictability of the future using trends. However, the major barriers include gender-inclusivity barriers, limited access to AI, and a gap in digital literacy. The paper offers suggestions, including investing in the education of women on the use and adoption of AI, developing AI that is inclusive and supports women entrepreneurs, and a mission of friendly programs to improve the entrepreneurial business environment. The presentations of AI as a tool and a challenge for women entrepreneurs are helpful approaches that the context offers. The research provides a critical resource in the analysis of the impact of AI on women entrepreneurs.

Keywords : Artificial Intelligence, Women Entrepreneurs, Inclusive Growth, Gender Bias, Digital Skills, AI Empowerment.

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Paper Submission Last Date
31 - December - 2025

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