Research Programme on AI, Government and Policy
This programme supports research on AI, Government and Policy.
Dr. Keegan McBride is an expert on topics such as digital government, digital innovation, the use of AI in the public sector, digital well-being and happiness, and government interoperability and data exchange. He is an active member of the scholarly community, participating in several high-level digital government focused conferences and publishing in leading peer-reviewed digital government focused journals. In his research he aims to develop an understanding about the future trajectory of the state in the digital age by exploring the complex and co-evolutionary relationships between technology, society, and the state.
Outside of these academic interests, Keegan is actively working with NGOs, particularly those that focus on reimagining a better, open, human-centric, and equitable digital future, he can additionally be found consulting and working with governments and private sector organizations on the topic of governmental digitalization. Keegan received an MSc in e-Governance Technologies and Services and completed his doctoral studies in public administration –both at the Tallinn University of Technology in Tallinn, Estonia.
Interoperability, Artificial Intelligence, Artificial Intelligence in the public sector, digital innovation, open government data, digital government, digital transformation, co-creation of public services, procurement of innovation, digital wellbeing.
This programme supports research on AI, Government and Policy.
As governments digitalize, their bureaucratic structures are increasingly encountering AI. This project explores what happens next by asking how the structures of public sector bureaucracies transform when exposed to new AI-based systems.
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.
13 September 2024
A new report from the Tony Blair Institute, co-authored by leading AI figures including two Oxford Internet Institute researchers, has set out recommendations for government ahead of a future ‘AI Bill’.
26 June 2024
OII researchers outline the necessity for policymakers to start laying the foundations for a strong, robust, and resilient digital government today.
13 March 2024
Researchers from the Oxford Internet Institute and the University of Bremen share their insights on how digital technologies can be used to wield authoritarian power in the context of the Russian election.
9 February 2024
On 14th February 2024, Indonesia will hold its fifth direct presidential election since transitioning to democracy in 1998.
GB News, 27 December 2024
The OII's Dr. Keegan McBride comments on Geoffrey Hinton's claims that there is a chance AI could end humanity in a few decades' time.
Bloomberg, 09 December 2024
China’s escalating conflict with the US over trade is now extending to the drones that have become a vital part of Ukraine’s defense.
Tech Native, 09 December 2024
Watch Dr Keegan McBride, Departmental Lecturer in AI, Government and Policy, OII speaking to Tech Native about his latest co-authored report, ‘Government resilience in the digital age’.
DPhil Student
Yvonne is studying for a DPhil in Information, Communication, and Social Sciences. She researches Chinese technology investments and AI governance.
DPhil Student
Nathan researches the state in an age of digital era government. He draws on his BA at Cambridge, where he focused on the history of technology and temporality, and his experience at start-ups and a government-focused technology company.
This option course will approach the study of government and politics through the lens of data science.
This course examines how AI can be used to improve policymaking and governance. The course will explore how AI can be used to develop, evaluate, and implement better policies; as well as the technical and organizational conditions that enable AI-driven policymaking.