Artificial Intelligence (AI) is often seen as a great equivalent, which improves education, health care and access to public services. However, if not made carefully, AI can also strengthen existing inequalities, due to the penis bias of them, it is notable. In fact, to move to transformative, positive changes, women need to be the major stakeholders in the life cycle of AI-based technologies-from their development to their reach and use.
The AI ​​systems are only as good as the data they are trained. When training data is not representative, AI can strengthen existing gender stereotypes. One study found that 44% of AI models in industries display gender bias, and can often result in disastrous real -world consequences. For example, in AI-operated credit scoring systems, gender bias can make it difficult for women to reach loans, AI is considered fair than human decision making. To address these prejudices, AI developers must actively assess gender-related inequalities at each stage-Deta Collection, Algorithm Design and Model Evaluation. Cooperation with gender experts, social scientists and ground level organizations can help create fair AI models. Karya is a non-profit organization that enables economic opportunities for low-income Indian population through a digital microtus, whose output goes to train large datasets used by large technical companies to create its AI model. Karya has enabled more than 35,000 workers in a wage of $ 800,000 in the last four years, with more than half of her laboring women. According to his mission to be a moral data company, they are currently working on a project with 30,000 women in rural India, the objective aims to identify and reduce gender biases in AI technologies.
Despite the ownership of the growing smartphone among women in India, digital literacy and access to AI-operated technologies are important challenges. According to the 2024 GSMA gender gap report, women’s access to mobile internet in India is still behind men, limiting their capacity of profit from AI-based services. Many AI-in-operated applications, such as chatbots, require input input, structured text input, making them difficult to use for women with low digital literacy. Designing the AI ​​system with a human-focused approach-where women are actively involved in the purposeful test-can make these techniques more accessible. For AI adoption, organizations and policy makers should design solutions that are comfortable, inclusive and relevant for women of diverse socio-economic backgrounds.
Women are underestimated in AI roles, with only 22% of the global AI workforce female-and there is a difference in the posts of interval. It is important to close this gender difference as diverse teams lead to fair, more inclusive AI technologies. As a rapidly developed area, public and private efforts must be synchronized not only to allow women to flourish, but also lead in technology roles. The Government of India has taken remarkable initiative for women in the Vigyan Jyoti Yojana and Science and Engineering (WISE) program for girls from class 9 to 12, who have completed their higher education as well as industry leaders like Microsoft. However, these efforts should be extended to benefit a large population. Encouraging more women to pursue AI careers through scholarship, mentorship and industry participation will help create a more inclusive technical ecosystem.
To create AI solutions that actually work for India, inclusion should be at the core of AI development. Homegron AI Ventures and policy makers can lead by ensuring that AI is designed for all, especially for women who face obstacles in both access and participation. To promote gender-sensitive AI design, encourage women leadership in AI and to make AI-based solutions more accessible, India can use AI’s transformational power for empowerment of women that are both effective and similar.
This article has been written to work for Sovjanya Kanuri, Director, Act for women and work for education.
