Biases We Research By

Assistant Professor of Social Psychology at the University of Groningen and a Visiting Lecturer/Assistant Professor at University College Dublin. His research focuses on social perception, bias, and inter-group relations. He serves as Associate Editor for Peace and Conflict: Journal of Peace Psychology and holds editorial roles with the Journal of Experimental Social Psychology, Analyses of Social Issues & Public Policy, British Journal of Social Psychology, and Journal of Community & Applied Social Psychology.

(she/her), is an associate professor at the University of Turin. Her research interests concern the representation of affect and values in social contexts, with a focus on Semantic Web and Linked Data. She has been co-organizer of the Italian Workshop Series on Artificial Intelligence for Cultural Heritage and of the ESSEM Workshop Series. She is Deputy Coordinator of the Open Science Working Group at her University.

PhD student in the Computer Science Department at the University of Turin, with a background in linguistics. Her research focuses on under-representation and bias in data sources and on how large language models handle rare entities and marginalized communities. She is also interested in knowledge graphs and explores methodologies to integrate structured knowledge into LLMs, focusing on long-tail and underrepresented entities.

Kenyan labor organizer, data specialist, and Vice President of the Data Labelers Association (DLA), a worker-led organization advocating for the rights and recognition of data annotators, content moderators, and AI supply-chain workers across Africa. His work focuses on exposing the hidden structures of exploitation in the AI industry and ensuring that the voices of digital workers inform global AI policy and regulation.

Is the founding President of the Data Labelers Association of Kenya (DLA) and a leading voice in the movement for ethical and dignified labour standards in the digital and AI ecosystem. Drawing from her own experience as a data labeler, Joan has become a strong advocate for transparent practices, fair working conditions, and recognition of data annotators as essential contributors to modern AI systems. Her leadership has brought a new level of visibility to the hidden workforce powering machine learning, and she works closely with workers, civil society, and policy institutions to drive reforms that centre worker agency, mental well-being, and sustainable livelihoods. Joan is committed to transforming AI from an extractive industry into one that respects the humanity, expertise, and rights of the people who make it possible.

Researcher in Computer Science at the University of Turin, co-founder of an NLP start-up in Italy, former human-rights activist, and former Humanities teacher. His research interests span bias and hate speech detection, human-AI value misalignment, and human-label variation. He frequently delivers tutorials and educational sessions on ethical AI and social aspects of NLP.