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Dr Ana Valdivia

Lecturer in AI, Government & Policy

Dr Ana Valdivia

Lecturer in AI, Government & Policy

About

Ana Valdivia is a Departmental Research Lecturer in AI, Government & Policy at the Oxford Internet Institute (OII). Ana investigates how datafication is transforming social, economic, and political worlds. Building on her experience as a mathematician and computer scientist, her interest lies in investigating power relationships in algorithmic governance and how public and private actors are fuelling the future with AI.

As a postdoctoral researcher at King’s College London (UK), Ana explored how datafication technologies are transforming borders and migration governance. She developed digital methodologies to discover which algorithmic systems, such as biometric systems, are used in the field of border security. Her transdisciplinary work stems from the ability to collaborate with scholars from a range of different disciplines, including political science, philosophy and law. In 2022, Ana received the Post-Doctoral Enrichment Award by The Alan Turing Institute.

In the past, Ana conducted research in transdisciplinary teams to design technological solutions in the private sector. She is a former fellow of the Data Science for Social Good program at University of Chicago (US). She has collaborated with organisations such as Statewatch and AlgoRace to investigate the impact of surveillance technologies and to raise awareness about algorithmic risks and the harms produced on  racialised subjects through artificial intelligence. She writes in the Jevon’s Paradox blog, where she examines power unbalances between science, technology and knowledge. Her work has been widely featured in the media (Público, El País, El Salto, elDiario.es).

Research Interests

Critical Artificial Intelligence, Algorithmic Governance, Migration and Gender, Tech Resistance

Areas of Interest for Doctoral Supervision

Artificial Intelligence and Social Justice, Fairness, Accountability and Transparency in Machine Learning, Natural Language Processing, Human-Computer Interaction

 

Positions at the OII

  • Lecturer in AI, Government & Policy, September 2022 -

Research

Projects

Teaching

Current Courses

Fairness, Accountability, and Transparency in Machine Learning

Integrating historical and cultural context with contemporary scholarship, this course equips students with the technical and conceptual tools to engage critically with machine learning research and practice.