Artificial Intelligence in Women Empowerment
Keywords:
Artificial Intelligence, Empowerment, Education, Entrepreneurship, Gender, HealthcareAbstract
In recent years, Artificial Intelligence (AI) has emerged as a powerful tool with the potential to transform various aspects of society. In India, where women have historically faced gender disparities and social challenges, AI has the potential to play a significant role in promoting women’s empowerment. This article explores the background and impact of AI on women empowerment in India. India, as a diverse and culturally rich country, has made significant strides towards women empowerment. However, gender inequality persists in various domains, including education, employment, and healthcare. Discriminatory social norms, limited access to resources, and lack of opportunities have hindered the progress of women across the nation. The role of AI in women empowerment is very important.AI is study the impact of AI on women empowerment. To assess the potential of AI for women empowerment. To examine the gender biases in AI algorithms. To explore the challenges and opportunities for future growth.
References
Barocas, S., &Selbst, A. D. (2016). Big data’s disparate impact.California Law Review, 104(3), 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, 77-91.
Chouldechova, A., & Roth, A. (2018). The frontiers of fairness in machine learning. ACM Conference on Fairness, Accountability, and Transparency, 117-122. 4. Dastin, J. (2021). Amazon to pay $62 million to settle U.S. charges it stole driver tips. Reuters. Retrieved from 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, 329-338.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 ಅಕ್ಷರಸೂರ್ಯ (AKSHARASURYA)

This work is licensed under a Creative Commons Attribution 4.0 International License.