By Brent Daniel Mittelstadt (Editor) and Luciano Floridi (Editor)
This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices.

The internet and new technologies present equally new ethical dilemmas: Should we use automated decision-making systems that are incompressible to the people they effect? How should our personal data be handled after our deaths? To what degree can firms and states use our data to make inferences about our activities and wants?
Our researchers work at the forefront of internet ethics. Our projects tackle both theoretical questions – like the possibility of explaining complex ‘black-box’ algorithms – and more practical ones – like the content of a new European ethical code for post-humous medical data donation.
By Brent Daniel Mittelstadt (Editor) and Luciano Floridi (Editor)
This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices.
Based on a case-study analysis of bias in the Chicago Crime Prediction Algorithm, this project explores the extent to which evidence of algorithmic bias can be used to guide policy responses to the societal disparities replicated in these tools.
This project will evaluate the effectiveness of accountability tools addressing explainability, bias, and fairness in AI. A ‘trustworthiness auditing meta-toolkit’ will be developed and validated via case studies in healthcare and open science.
This project transforms the concept of counterfactual explanations into a practically useful tool for explaining automated black-box decisions.
30 November 2023
Sakshi Ghai, Postdoctoral Researcher, Oxford Internet Institute, has been awarded a Women of the Future Award in the Science Category.
28 November 2023
No ‘smoking gun’ mental health harm from internet: landmark Oxford survey
20 November 2023
Large Language Models (LLMs) pose a direct threat to science, because of so-called ‘hallucinations’ and should be restricted to protect scientific truth, says a new paper from leading AI researchers at the Oxford Internet Institute.
29 September 2023
The United Kingdom is organising an Artificial Intelligence Safety Summit at Bletchley Park in November, aiming to develop a shared global understanding of the risks that may emerge from powerful new Foundation Models.
The Guardian, 26 November 2023
CNN, 22 November 2023
The European Union is pulling its advertisements from Elon Musk’s X for now, citing an “alarming increase” in hate speech and disinformation on the platform formerly known as Twitter.
TIME, 21 November 2023
Article highlights the dramatic exit of former OpenAI CEO Sam Altman and speculates on the future governance and development of AI technologies.