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
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
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 :
- Baracas, S. & Selbst, A.D., 2016. Big data's disparate impact. California Law Review, 104(3), pp. 671-732.
- 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.
- Chouldechova, A. & Roth, A., 2018. The frontiers of fairness in machine learning. ACM Conference on Fairness, Accountability, and Transparency, pp. 117-122.
- 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.
- 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.
- Eubanks, V., 2018. Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.
- 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.
- Gender Equality in the Age of AI. 2021. UNESCO. Available at: https://en.unesco.org/genderequalityai.
- Gray, M.L., Sweeney, L. & Yablon, Y.B., 2021. Can AI help achieve gender equality? American Economic Review: Insights, 3(2), pp. 241-254.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.