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Lorena Volpini
Senior Researcher & Social Scientist

Change is the only certainty.

l.volpini@cyberethicslab.com

Lorena Volpini is a social scientist, specialized in Big Data Analytics, with an interdisciplinary background. She graduated in Comparative Law at University of Florence and holds a PhD in Anthropology at Federal University of Bahia, Brazil. Lorena began her career in development cooperation in East Africa and then moved to Brazil, where she lived and worked for 12 years. In her diversified career, she served national and international organizations both in the public and the third sector. Her research focused mainly on fundamental rights and citizenship rights. She taught anthropology, sociology and human rights. Her main research interests have concerned processes of social and cultural change, citizenship and grassroots collective action as a drive of democratization. Her current work revolves around the social impact of emerging technologies and related ethics challenges. She actively supports citizenship science and data literacy initiatives.

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From Lorena

Articles

When ethics needs fieldwork: values in AI don’t mean what we think they mean

“Human-centred.” “Autonomy.” “Accuracy.” These words appear in almost every AI ethics framework, every responsible innovation charter, every design methodology worth its name. They signal a commitment to the person over the system, to dignity over efficiency, to truth over convenience. In the landscape of AI development, they function as a kind of ethical common ground, […]

Ethical Artificial Intelligence in Dementia Care: Ensuring that Innovation Promotes Health Equity

The Implementation of Artificial Intelligence in Healthcare, particularly for Early Diagnosis, Prevention, and Treatment of Dementia and Frailty, requires ethical frameworks that address both universal principles and specific contextual challenges. Within the COMFORTage project, CyberEthics Lab. is developing and applying a comprehensive methodology that combines complementary approaches to evaluate and support the implementation of AI […]
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