Kai worked on the Trustworthiness Auditing for AI project at the Oxford Internet Institute. His research aims to make machine learning models more transparent and trustworthy. He is broadly interested in applied machine learning research and technology startups, and brought experience from both these domains to his work at Oxford.
Artificial Intelligence, Machine Learning, Language Models
This OII research programme investigates legal, ethical, and social aspects of AI, machine learning, and other emerging information technologies.
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.
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.
20 June 2025
OII researchers are set to attend the Association of Computing Machinery (ACM) Conference on Fairness, Accountability and Transparency (FAccT) 2025.
Professor of Technology and Regulation
Professor Sandra Wachter is Professor of Technology and Regulation focusing on law and ethics of AI, Big Data, and robotics as well as Internet regulation at the Oxford Internet Institute at the University of Oxford
Dieter Schwarz Associate Professor, AI, Government & Policy.
Chris Russell is the Dieter Schwarz Associate Professor, AI, Government and Policy. Dr Russell’s work lies at the intersection of computer vision and responsible AI.
