Is feminist AI possible?

The article examines the inherent biases in artificial intelligence, stemming from a lack of diversity in the teams developing AI and the use of biased data. Experts like Karina Gibert and Tatiana Caldas Löttiger highlight how these biases can disproportionately affect women and other underrepresented groups, leading to discriminatory outcomes in areas like hiring and insurance. Europe is leading the way in AI regulation with the EU AI Act, which classifies AI systems based on risk and mandates ethical standards for high-risk applications.

However, regulation alone isn't sufficient. The article emphasizes the need for a cultural shift, including educating individuals about the potential harms of AI – such as deepfakes – and fostering a more inclusive AI culture. Projects like Permepsy, a predictive AI platform for personalized medicine, demonstrate the importance of proactively addressing bias and ensuring fairness in high-risk AI applications.

Ultimately, the experts agree that AI is here to stay and should be viewed as a tool that can be used responsibly. Achieving a “feminist AI” requires a multi-faceted approach involving regulation, diverse teams, education, and a fundamental change in how society perceives and interacts with this rapidly evolving technology. As Caldas states, we must “take ownership of AI governance” to ensure it benefits everyone.

(Source：Diari Ara)