Reacción a "Online images and texts portray women as less experienced than men across all occupations"

The study demonstrates the existence of widespread algorithmic bias based on gender and age, which represents women as younger and less experienced than men on digital platforms such as Google and language models such as ChatGPT. This bias, which is more evident in high-status professions, influences perceptions and employment decisions, disadvantaging older women. Overall, the research shows that these algorithms reinforce structural inequalities and distort the social representation of women and men in the digital environment.

This study is particularly relevant because it shows how global algorithmic biases can be reproduced in our European digital environment, affecting the representation and employment opportunities of women and men. By relying on international platforms such as Google or ChatGPT, Spanish society, in particular, is exposed to distortions that can reinforce stereotypes, limit access to positions of responsibility, and perpetuate gender and age inequalities. 

In my opinion, it is necessary to promote algorithm audits and demand transparency in AI systems, in line with the obligations established by the European Artificial Intelligence Regulation (AIR), which seeks to ensure the safe, ethical, and non-discriminatory use of these technologies. This is particularly relevant in job selection processes that use AI considered high risk according to the AIR. I also believe it is essential to promote critical digital education in primary and secondary schools in order to detect these biases.