Introducing the 2025 MSc Thesis Prize Winners
18 February 2026
We are delighted to announce the winners of the 2025 OII MSc Thesis Prizes. These prizes recognize outstanding work and contributions to the field.
18 February 2026
We are delighted to announce the winners of the 2025 OII MSc Thesis Prizes. These prizes recognize outstanding work and contributions to the field.
9 February 2026
Study finds AI chatbots less helpful than search engines for medical advice
28 January 2026
New international study identifies four distinct archetypes of early AI users and challenges the "one-size-fits-all" notion of AI adoption.
15:30 - 17:00, 58a Banbury road
With Srravya ChandhiramowuliDespite recent advances in AI’s computational capabilities, data work—the human labour required for training, fine-tuning, and evaluating AI systems—remains indispensable to AI production.
Find out more about research by OII academics
Associate Professor Digital South Asian Studies
Janaki's research examines the politics of digital exclusion in India. She uses ethnographic and archival research to examine how gender, caste and class have shaped the use of information and information technologies in varied contexts.
Professor of Data Ethics and Policy
Professor Brent Mittelstadt is a data ethicist and philosopher specializing in AI ethics, professional ethics, and technology law and policy. He is the founder/coordinator of the Governance of Emerging Technologies (GET) programme.
Director of Graduate Studies, Associate Professor, Senior Research Fellow
Bernie Hogan examines how to capture, represent and think about social networks, especially personal social networks. His work focuses on the role of design in social media, network capture techniques and theories of relationships.
This project investigates how worker representation in German firms shapes AI use and adoption, asking whether employee voice at firms can steer AI toward complementing workers rather than automating them.
The Synthetic Society Lab aims to improve how we research, access, and use sensitive human data. The fellowship will advance an evidence-based science of privacy engineering to make research using digital traces safe and reliable.
The project will investigate the international relations and social dynamics of international AI competition, specifically the sociopolitical and bureaucratic drivers of US-China AI competition.
By Andres Raieste, Andri Rebane, Madis Tapupere, Keegan McBride
In a world increasingly defined by crises—from pandemics and climate disasters to escalating wars—governments that fail to build digital resilience risk crumbling under pressure.
The Telegraph, 17 February 2026
The OII’s Dr Fabian Stephany explains how organisations may use AI tech as a scapegoat for redundancies.
The Guardian, 13 February 2026
The OII’s Prof Carl Frey’s comments on investor fears over AI.
The Washington Post, 12 February 2026
Researchers at Oxford and the University of Kentucky uncovered hidden biases in ChatGPT’s assessments of people from different places. Drawing on a study co-authored by Professor Mark Graham on the limitations of LLMs.