Artificial Intelligence and Gender Equality

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© Barbora Novotna
Creator: Barbora Novotna

The project on Artificial Intelligence and Gender Equality addresses  critical yet often overlooked issues, from algorithmic fairness and gender bias to digital literacy and labor inequalities in the changing world of work.

While technical artifacts are often portrayed as neutral, technology is never value-free. Innovations usually evolve through gradual modifications and combinations of existing technologies, shaped by both their creators and the social context in which they emerge  (Wajcman, 1991). 

AI systems, which rely on data and algorithms to detect patterns, make decisions, and learn, are not immune to bias. Gender biases can appear in training data—reflecting historical discrimination—or arise during algorithm development due to design choices or the learning process itself.

12 December 2025, Paris - Exploratory workshop: What progressive agenda for gender equality at work in the digital age?

This workshop organised and hosted by FES Paris brought together partners to identify and discuss, within a European cooperation framework, emerging topics and priority areas for action related to gender equality and artificial intelligence in the French context. During the workshop, FES Future of Work presented a recent study on Changing Working Lives: Women and Automation in the Labour Market. As an exploratory initiative, it helped lay the groundwork for future joint projects between the Friedrich-Ebert-Stiftung and its partners from the political, trade union, civil society, and academic spheres in France and across Europe.

Conference Page

The conference has addressed the intersection of artificial intelligence (AI), digital transformation, and gender equality in the workplace. The event brought together policymakers, academics, trade union representatives, and civil society actors to explore how digital technologies can both challenge and advance women’s rights in professional environments.

Speakers emphasised that AI is not gender-neutral. Left unchecked, automated systems can reproduce and even amplify existing inequalities, affecting hiring, promotion, workplace surveillance, and access to opportunities. Keynote speaker Ivana Bartoletti highlighted the urgent need for AI governance that actively promotes inclusion and fairness, ensuring that technology works for all, rather than reinforcing biases.

The conference featured three thematic workshops. The first focused on inclusive digital ecosystems, discussing how EU and national policies can embed gender-responsive regulation into the design and implementation of AI technologies. The second addressed AI-driven work, safety, and health, examining risks such as cyberviolence, intrusive monitoring, and gendered workplace stress, and exploring strategies to protect workers’ autonomy and well-being. The third workshop emphasized AI literacy for trade unions and civil society, underscoring the importance of understanding AI systems to advocate effectively for transparency, accountability, and workers’ rights.

Our Publications

Changing working lives: women and automation in the labour market

Sabanova, Inga | Bonn : Friedrich-Ebert-Stiftung e.V., December 2025

scoping review

Gender data

Arora, Payal ; Huang, Weijie | Bonn : Friedrich-Ebert-Stiftung, January 2025

what is it and why is it important for the future of AI systems?

What is feminist AI?

Wudel, Alexandra ; Ehrenberg, Anna | Bonn : Friedrich-Ebert-Stiftung, January 2025

The EU Artificial Intelligence Act through a gender lens

Karagianni, Anastasia | Bonn : Friedrich-Ebert-Stiftung, January 2025

Multi-stakeholder guidelines on how to address gender bias in AI systems

Munarini, Monique | Bonn : Friedrich-Ebert-Stiftung, January 2025

PhD Summer School 2024: Gender, AI and Inclusive Work

In this summer school, we aimed to explore the everyday experiences of female workers within the changing nature of work environments due to new technologies and new forms of work from by looking at the interaction between technological change,...

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Technology, Employment and Wellbeing

An FES blog that offers original insights on the ways new technologies impact the world of work. The blog focuses on bringing different views from tech practitioners, academic researchers, trade union representatives and policy makers.

Synthetic Data: A quick cure-all? by Marianna Capasso and Payal Arora

Mind the gender AI gap: The fight for fairness futures by Weijie Huang and Payal Arora

Deepfakes, Real Harm: Building a Women’s Safety-Centered GenAI by Payal Arora, Kiran Vinod Bhatia and Marta Zarzycka

The Meme-ification of Political Issues. Moving beyond the pros and cons of AI-enabled virality for social justice. by Lucie Chateau

Ubuntu and AI: Africa’s Bold Vision for an Ethically Inclusive Tech Future by Wakanyi Hoffman