IA (Artificial intelligence)

This project is particularly relevant for the development of the Basque language in the context of AI. Likewise, the Basque Artificial Intelligence Centre (BAIC) has presented AI use cases developed by partner entities in Gipuzkoa, including a system for predicting and optimizing the autonomy of electric vehicles using AI from Vicomtech.Artificial Intelligence (AI) is a technological system designed to perform tasks that normally require human intelligence, such as learning from previous experiences, solving problems, recognizing patterns, making decisions, processing language, and interpreting visual information.

AI works through algorithms and large volumes of data that allow machines to “think” and act in an analogous way to people but faster and more accurately in specific tasks. However, several manifestations of artificial intelligence (AI) are problematic from a gender perspective. For example, AI programs used in personnel selection processes or access to financial services have shown biases that discriminate against women. The underrepresentation of women in the datasets used to train AI results in systems that do not reflect equity. Meanwhile, there are difficulties in recognizing women’s voices and in detecting female faces, especially when they have darker skin. On the other hand, the speech of voice assistants is primarily female. This is problematic because female voices are associated with being emotional, servile, and pleasant (rather than rational, independent, or assertive). Likewise, AI that generates visual content tends to reproduce gender stereotypes, sexualizing and limiting women. Different chatbots and language models (such as ChatGPT) have been shown to perpetuate gender biases, associating women with stereotypical roles.

On the other hand, AI is leading to the automation of jobs where women are overrepresented, such as administrative and clerical positions, putting their job stability at risk. In addition, the low participation of women in the development of AI systems (only 9.1% of AI specialists are women) contributes to the perpetuation of biases.

However, there are positive developments as well. AI-powered tools, such as gender decoders and unbiased recruitment platforms (e.g., HireVue), focus on skills and qualifications rather than gender, helping to eliminate biases in hiring. These systems ensure equitable job opportunities for women and promote diversity in workplaces by analyzing candidates based on their achievements. AI-driven educational platforms, like Coursera and Udacity, provide personalized learning experiences tailored to individual needs. These platforms help women overcome traditional barriers to education by adapting content to their learning pace and style. AI is used to increase women’s safety through applications like AI-powered alert systems and tools that track unsafe areas or provide emergency assistance.