Inclusive AI as the next competitive edge for businesses

On October 13, the World With Women association launched a call for more inclusive AI, arguing that diversity in teams reduces biases and boosts performance. According to a study by Arborus, 80 % of words used in governance job descriptions carry masculine semantics, prompting the development of neutralisation tools. Biases may also stem from indirect criteria like community involvement or location, reproducing discrimination without explicit sensitive data.

Inclusive AI is becoming an economic and legal issue. Automated recruitment systems, classified as high-risk in Europe, expose companies to compliance and litigation costs, as seen in the 2025 Workday case in the U.S. McKinsey reports that the most diverse companies achieve up to 25 % higher profitability, while *The ROI of AI Ethics* (2025) shows a 13 % return on investment versus 5.9 % for those with structured ethical governance.

Inclusion is no longer a constraint but a performance criterion. Tools like AI red teaming or audits enable early integration of these controls, avoiding future costs. An International Charter for Inclusive AI, recognized at the 2025-2026 AI Action Summit, now includes over 160 organizations, including Orange and L’Oréal.