Gender gap in AI development could impact business outcomes, warn industry leaders

As artificial intelligence becomes a cornerstone of modern business, industry experts are raising alarms about the persistent gender diversity gap in AI development. This lack of representation poses serious risks to fairness, innovation, and overall business performance. Leaders in the field caution that the underrepresentation of women in AI roles could lead to biased systems that do not adequately reflect the diverse needs of users. Harsha Solanki, VP GM Asia at Infobip, emphasizes that the trajectory of AI is largely determined by those who create it. He warns that a narrow range of perspectives in development and decision-making can result in significant blind spots, impacting how AI systems function in real-world scenarios. According to Solanki, developers must ask critical questions, such as whether datasets accurately represent all customer demographics, if systems perform equally across various languages and devices, and whether automated decisions maintain consistency and fairness. While he acknowledges that increasing diversity in decision-making doesn't completely eliminate bias, it substantially lowers the chances of overlooking crucial errors. To cultivate a more inclusive environment, Solanki advocates for organizations to broaden access to skills through structured learning opportunities, hands-on projects, and mentorship programs. This approach will empower underrepresented groups to take on technical and leadership roles in AI. Echoing these sentiments, Priya Pandey, Head – People & Culture at Thriwe, stresses that products developed by a homogenous group tend to reflect a limited viewpoint, potentially failing to meet the diverse needs of users. As AI continues to permeate various aspects of business and everyday life, she argues that inclusive design has shifted from being merely a social responsibility to a vital business necessity. Pandey warns that excluding women from AI research, product design, and leadership positions could exacerbate existing inequalities and create new challenges in the future. Enhancing the participation of women in these critical areas is essential for ensuring that technology is equitable and relevant. Experts agree that businesses relying on AI must prioritize diversity within their development teams to establish reliable and responsible systems. A more varied mix of perspectives not only enhances product quality but also mitigates bias and fosters user trust—key ingredients for sustainable growth in an AI-driven economy.