What role do women play in the development of AI?

"AI is rapidly changing the way organizations work and make decisions. Yet women's influence in AI development remains limited. As in other tech professions, women are underrepresented in data science, machine learning, and algorithm development. This is even though practice regularly shows that diverse teams build better models, recognize bias more quickly, and develop solutions that are more relevant to a broad group of users."

"While discussions about AI often focus on data, algorithms, and computing power, the social context in which technology operates is equally important. After all, AI systems reflect the values, assumptions, and decisions of the people who build them. It is precisely at this intersection between technology and society that women can play a crucial role, as they often bring strong social and communication skills that help to understand better and steer the impact of AI."

AI is rapidly changing organizational work and decision-making, yet women remain underrepresented in data science, machine learning, and algorithm development. Diverse teams build better models, identify bias faster, and create solutions more relevant to broader user groups. Young women are less likely to choose technical studies leading to AI careers due to cultural expectations, stereotypes, and a lack of visible role models. Women should become technology experts and also be visible as leaders and inspirers. Mentoring, networking, and sharing experiences are crucial to attract and retain female talent. The social context of AI matters; women’s social and communication skills help understand and steer AI’s impact.

Read at Techzine Global