Jonathan Stray
Center for Human-compatible AI at UC Berkeley
Bio
Jonathan Stray is a Senior Scientist at the Center for Human-compatible AI at UC Berkeley, where he works on the design of AI-driven media with a particular interest in well-being and conflict. Previously, he taught the dual masters degree in computer science and journalism at Columbia University, worked as an editor at the Associated Press, and built document mining software for investigative journalism.
Sandra Wachter
Oxford Internet Institute. Former Fellow of The Alan Turing Institute.
Bio
Dr. Sandra Wachter is a Researcher in Data Ethics and Algorithms at the Oxford Internet Institute, she is a member of the Ethics and Philosophy of Information research cluster and the Digital Ethics Lab. Sandra is also a Turing Research Fellow at the Alan Turing Institute in London. Her research focuses on the legal and ethical implications of Big Data, AI, and robotics as well as governmental surveillance, predictive policing, and human rights online.
Prior to joining the OII, Sandra worked the Royal Academy of Engineering on topics such as connectivity, AI, and autonomous systems. Sandra holds a Master’s and PhD in law specialising on European, International, and human rights law as well as technology and data protection law. In her PhD, she explored the concept of democracy according to the European Court of Human Rights and tested whether democracy is compatible with mass surveillance methods such as the European Data Retention Directive. Sandra also holds a Master’s of Science from the Oxford Internet Institute. Her thesis looked at tensions between freedom of speech and the right to privacy on social networks.
Shawe-Taylor
Director of the Centre for Computational Statistics and Machine Learning at University College, London (UK)
Bio
John Shawe-Taylor is a Professor of Computational Statistics and Machine Learning at University College London (UCL), UK, and a Turing Fellow. His primary research focus is statistical learning theory, though his contributions span multiple domains, including neural networks, machine learning, and graph theory. A key figure in the modern resurgence of machine learning, he has made fundamental contributions to the field, with applications ranging from computer vision and document classification to biomedical research, including brain imaging, immunology, and proteomics. Over his career, he has published more than 300 research papers and two books, accumulating over 80,000 citations. Beyond his research contributions, Shawe-Taylor has played a pivotal role in shaping the European machine learning community. He has been instrumental in establishing a series of influential European Networks of Excellence, starting with the NeuroCOLT projects and later leading the PASCAL and PASCAL2 networks. His leadership in these initiatives has shaped a generation of researchers and accelerated the adoption of machine learning in both academia and industry, fostering the transformative impact we see today.