13 November 2024
A new study from AI experts at the University of Oxford and University of Melbourne reveals that men are much more likely to support the idea of being cared for in their homes by a robot when they are infirm or elderly, than women.
11 November 2024
In her latest blog, Dr Ana Valdivia explores the structure of AI supply chains, the environmental impact of data centres on local communities, and why scholars and governments need to reconsider algorithmic harms.
7 November 2024
According to Oxford and MIT researchers, social media users are more likely to follow and engage with like-minded accounts that demonstrate similar political views – but to what extent is this driven by interest in the content itself?
12:00 -13:00, Seminar room, 1 St Giles
With Dr Roxana RaduThis talk explores how governments have responded to ransomware since its surge in 2020, using case studies of governmental measures and strategies adopted to tackle ransomware networks.
Find out more about the research of academics who have recently joined the OII
Associate Professor
Mohsen’s research lies at the intersection of computational/data science and cognitive psychology. He studies online harm, misinformation, and formation of social networks.
Postdoctoral Researcher
Kai works on AI explainability and fairness at Oxford. He builds upon his work auditing and testing machine learning models in industry and in academia, making AI systems safe and trustworthy.
Postdoctoral Researcher
Zihao Fu is in the Trustworthiness Auditing for AI project. His research interest include Natural Language Processing, Large Language Model, Machine Learning, Biomedical Applications, Large Language Model safety fairness among other areas.
By James Muldoon, Mark Graham, Callum Cant.
AI is an extraction machine that feeds off humanity's collective effort and intelligence, churning through ever-larger datasets to power its algorithms. This book details what we need to do to fight for a more just digital future.
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.
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.
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.
By Felix M. Simon and Luisa Fernanda Isaza-Ibarra
How might AI be used and regulated in the news to the benefit of journalists, news organisations, and the public? This report presents findings and recommendations from the Minderoo ‘AI in the News’ project.
BBC Radio Oxford, 20 November 2024
Dr Hertog shares key findings from her new study exploring people’s attitudes towards robot carers with the BBC Radio Oxford breakfast show.
Business Insider, 19 November 2024
As the adoption of driverless taxis spreads across the US, ride-hailing experts told Business Insider that Uber and Lyft drivers could see their earning opportunities slowly deteriorate.
CNN, 19 November 2024
Donald Trump is poised to enter the White House for the second time. His agenda will include overseeing the development of artificial intelligence, potentially the most powerful technology of our time.
