Advocate in India
Student at Dharmashastra National Law University Jabalpur, India
This research examines how AI-powered platforms can enhance the participation of women in international trade and their efforts towards promoting women’s entrepreneurship. As much as digitalization opens up many opportunities for women, there are still challenges like market access, visibility and competition that limit women’s participation. This article takes an innovative perspective through the application of AI technologies which are hoped will reduce the barriers and grow more supportive ecosystems for women in digital marketplaces. Informed by international trade law, artificial intelligence technology, and gender studies, this research inquires into AI focused women oriented platforms . It performed a case study in predicting and placing women into already established markets. Various case studies illustrating AI technology success in a number of industries suggest that AI can aid women’s entrepreneurship by addressing issues such as market demand detection and supply chain management. An important novelty of this research is a concern with the assistance of artificial intelligence tools that are targeted specifically to women entrepreneurs. The research examines existing AIF and their gendering impact in order to find the weaknesses and suggest new AI-based approaches to eliminate barriers like lack of financial resources, lack of marketing knowledge, and discrimination in business circles against women. The study also suggests in what ways policy can be used to create an AI-facilitated trading system that promotes female entrepreneurs. Proposing practical and upscaling solutions of AI, the research helps the policymakers , technologists as well as trade bodies to empower women economically through the use of digital marketing technologies powered by AI.
Research Paper
International Journal of Law Management and Humanities, Volume 7, Issue 6, Page 1348 - 1357
DOI: https://doij.org/10.10000/IJLMH.118640This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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