Dr Aleksei Turobov is an Assistant Professor at the Bennett School of Public Policy. His research examines the critical gap between the global ambitions of AI policy and the practical realities of its implementation.

He leads research for the AIxGeo project, using a mixed-methods approach that combines AI-driven thematic analysis with network analysis to map the emergent coalitions and narratives shaping international AI policy and governance. Dr Turobov argues that the success of global governance hinges on the granular details of AI institutional capacity. This conviction drives his work on the adoption of Large Language Models (LLMs) within the UK civil service, where he evaluates the ‘expectation-capability gap’ and develops frameworks for responsible implementation.

By connecting global strategy to institutional practice, his work generates an evidence-based understanding of how institutions can adapt in the age of AI, informing his ongoing work on evaluating institutional AI adaptation using machine learning. He holds a PhD in Political Science and was previously a Postdoctoral Fellow in Cybersecurity and Technology Policy at Northumbria University.

Aleks’ webpage:

https://www.linkedin.com/in/aleksei-turobov-phd-8232a2153

11:10

Using ChatGPT for Thematic analysis by A Turobov, D Coyle, V Harding (2024)

https://www.bennettschool.cam.ac.uk/wp-content/uploads/2024/05/Using-ChatGPT-for-analytics-WP.pdf  

16:20

Flexible coding using teams of reseachers: https://journals.sagepub.com/doi/full/10.1177/16094069241289279#tab-contributors 

36:00

The militarisation of Artificial Intelligence UN Office for Disarmament Affairs (2007)

https://digitallibrary.un.org/record/3972613?ln=en&v=pdf