Research
We investigate how data, digital infrastructure, and algorithms impact society.
Reliability of LLMs as medical assistants for the general public: a randomized preregistered study
Published in Nature Medicine
Attributing and situating knowledge cannot be left to language models
Published in Nature Machine Intelligence
‘We can see a savage’: a case study of the colonial gaze in generative AI algorithms
Published in AI & Society
Gender trouble in language models: an empirical audit guided by gender performativity theory
Presented at ACM FAccT
A scaling law to model the effectiveness of identification techniques
Published in Nature Communications
2024
Anonymization: The imperfect science of using data while preserving privacy
Published in Science Advances
Selected Tools
The Observatory of Anonymity
Take a short quiz to find out what makes you more vulnerable to re-identification online, explore anonymity in 89 countries around the world, or train our method with your own datasets. Developed with the Computational Privacy Group at Imperial, this tool helps the public, researchers, and practitioners better understand how fragile our privacy is.
Explore the tool