Financial inclusion of vulnerable sectors with a gender perspective : risk analysis model with artifcial intelligence based on complex thinking

The objective is to present a proposal for a gender-sensitive risk analysis model using artifcial intelligence (AI) within the framework of complex thinking that pro‑ vides access to opportunities, specifcally for vulnerable populations such as women from underprivileged sections. This international non-parametric study highlights the vulnerability of this population in Mexico through a sample of 2787 women. The methodological design included data analysis, the postulation of a proposed model, and a validation method for the credit risk analysis model. There is a correlation between the level of schooling of impoverished and vulnerable women with the pos‑ sibility of self-employment and selling a product or service. In the framework of com‑ plex thinking, the perception of innovative thinking is related to the level of education and innovative decision-making in professional projects. Women with a higher level of schooling tend to think about their professional projects systematically. Promoting complex thinking involves innovative educational practices to encourage critical, sys‑ temic, scientifc, and innovative thinking in entrepreneurship and sustainable develop‑ ment. Integrating reasoning for complexity benefts women and contributes to eco‑ nomic and social growth in vulnerable regions. In contrast to other models, our credit risk analysis model uses AI and variables for gender, vulnerability, and complex thinking to detect patterns in women's behaviors and attitudes in the venture start-up process. Our proposal is the starting point of many analyses to develop further about artifcial intelligence based on complex thinking.