New study finds that ChatGPT amplifies global inequalities
20 January 2026
New analysis from Oxford and Kentucky researchers shows AI systems reproduce long‑standing global biases
Latest news
When big tech plays like Man United: How ‘kill zones’ threaten Europe’s future
16 January 2026
Dr Fabian Braesemann examines how tech giants’ acquisition strategies mirror those of elite football clubs buying up young talent, and why this matters for Europe’s digital sovereignty.
OII Researcher Dr Fabian Braesemann wins European AI Innovation Award
16 December 2025
OII Researcher Dr Fabian Braesemann wins European AI Innovation Award for research-based Founder Personality Quiz.
Next events
21
Jan
From AI Sovereignty to AI Agency: assessing national capability, power, and strategic choices in a connected world
13:30 -14:30, Schwarzman Centre
With Rebecca RazaviThis talk examines how national AI capability and dependency can be systematically assessed in an increasingly interconnected AI ecosystem
Four graduate degrees
Academic spotlight
Find out more about research by OII academics
Dr Janaki Srinivasan
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 Brent Mittelstadt
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.
Dr Bernie Hogan
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.
Latest projects
Conversations between governments and citizens in a digital society
This project seeks to understand how citizens listen and speak to public institutions, and how alternative AI-based models and framing might encourage democratic communication.
The Promise of AI in Childcare
With mobile devices ubiquitous among young people, it is not surprising that parents are increasingly turning to technology for help in childcare. This project examines monitoring technologies and how parents use them as part of child supervision.
Understanding the Causes of the Reverse Personal Computing Revolution
The shift to cloud represents a reversal of the 1980s personal computing revolution: computation is moving from personal devices back into large, centralized facilities. This project seeks to understand the economic drivers of this reversal.
Latest report
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.
Press coverage
Welcome to the K-shaped economy: why AI will make us more productive (and more unequal)
El País, 03 January 2026
Artificial intelligence will underpin a growth model that exacerbates disparities and increases imbalances. Dr Carl-Benedikt Frey comments.
“New, unimaginable breakthroughs? We are not seeing those with AI at the moment”
Die ZEIT, 22 December 2025
Dr Carl-Benedikt Frey says AI has not made us more efficient so far. This could suggest a bubble – and threaten our prosperity.
Dr Scott Hale in conversation with BBC Sounds
BBC Radio Oxford, 13 January 2026
Who is responsible for regulating technology and addressing the environmental impact of AI—and why will 'healthy scepticism' be essential as AI becomes increasingly embedded in everyday life? OII Director Dr Scott Hale shares his perspective.
Latest podcast
The science behind successful start-ups
Fabian Braesemann and Paul McCarthy discuss the impact of founder personalities on startup success, how a predictive model outperforms industry standards to predict company success, and what factors can help us predict which startups will succeed.
