We strive to chart a path towards a more ethical, inclusive, and socially just technological landscape.

Current Research Areas

Detecting and Mitigating Bias in Social Interactions through Generative AI

Applying the principles of data feminism to the realm of AI for social good, focusing on the awareness and mitigation of biases in both online and offline social interactions, and using generative AI to counteract them through innovative solutions.

Co-envisioning Feminist Generative AI Futures 

Redefining the conversation around generative AI by emphasising on feminist principles, participatory design, and design activism. Addressing power imbalances and promoting inclusivity, justice, and equality in generative AI development. Contributing to a transformative shift in AI research, actively involving vulnerable and marginalized communities.

Human Labour in the Generative AI Supply Chain 

Extending knowledge about human labor necessary for AI-systems. The research leads to insights into how fair treatment might look like according to the workers themselves. Such insights can inform a feminist approach of the human AI supply chain, and form the groundwork for platform design and activism.

Environmental Justice in Generative AI

Investigating imaginaries and practices around the environmental costs of generative AI. Environmental justice is about finding just and fair alternatives to the inequalities that affect how the ecological space and resources of a finite planet are shared. Such insights can inform a feminist theory of environmental justice in the area of generative AI, and form the groundwork for design and activism.