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.
Ethics
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.
20 January 2026
New analysis from Oxford and Kentucky researchers shows AI systems reproduce long‑standing global biases
25 November 2025
Researchers from the Oxford Internet Institute at the University of Oxford will be at NeurIPS 2025 in San Diego from 1- 7 December, 2025, contributing to one of the world’s leading AI conferences.
17 November 2025
Jason I. Kim, Visiting Policy Fellow, Oxford Internet Institute, considers how digital ecosystems learn to defend at the speed of change.
4 November 2025
Largest systematic review of AI benchmarks highlights need for clearer definitions and stronger scientific standards.
Die ZEIT, 22 December 2025
Dr Carl-Benedikt Frey says AI has not made us more efficient so far. This could suggest a bubble – and threaten our prosperity.
fd., 09 January 2026
Dr Carl-Benedikt Frey comments on technological applications that are designed to increase safety.
The Indian Express, 14 January 2026
How bureaucracy and centralization have repeatedly stalled technological progress throughout history. With reference to Dr Carl-Benedikt Frey's publication, 'How Progress Ends: Technology, Innovation and the Fate of Nations'.
