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Her Data: Read Our Interview Of Maria Mavropoulou On Algorithmic Gender Bias

Maria Mavropoulou installation image courtesy of the artist.

“Have you ever wondered why Siri, Alexa and Cortana are given female voices and names? How do machines see women? Can machines perceive diversity?” 

Women currently occupy a minority of positions in the tech field. As a result of this, there is growing evidence that the gender imbalance affecting the tech sector extends to data science and AI. Gender and racial biases found in AI training data sets, algorithms, and devices have the tendency to reinforce harmful stereotypes that stigmatize and marginalize women on a global scale. With the increasing ubiquity of AI in our societies, such biases put women at risk of being left behind in all realms of economic, political and social life. Her Data is a group exhibition currently on view at Romantso, Athens that explores the role of data and algorithms in the current age of artificial intelligence through the female perspective, and focuses on how technologies used daily might affect our identities and ways of thinking. Curated by Katerina Gkoutziouli & Foteini Vergidou, the show includes the work of 4 female artists, Eli Cortiñas, Maria Mavropoulou, Mimi Ọnụọha, and Paola Palavidi. Each artist highlights the need for inclusive technologies due to the various ways that dominant technological narratives influence our experienced identities through social media, search engines and AI applications. Together these works raise questions about the tech industry and its collection and distribution of our data. They invite us to look deeper at the design of current technological systems, exposing how they work and the world views that they propagate. We spoke with Greek artist Maria Mavropoulou to learn more about her involvement in the show and how she investigates the algorithmic classifications of women according to race, gender, and age through the use of personalized ads. Read more.