CWI, Amsterdam
Steven Pemberton is a distinguished researcher in the fields of interaction, declarative programming, and web technologies, based at the Dutch national research centre CWI in Amsterdam. His university tutor was Dick Grimsdale who built the world's first transistorised computer, and who was himself a tutee of Alan Turing. After university, Pemberton -- coincidentally -- worked in Turing's old department on the 5th computer in the line of computers Turing had worked on. He co-designed the language that Python is based on, was the first user of the open internet in Europe in 1988, and has been involved with the web from its inception, co-designing several web standards, including HTML, CSS, XHTML, XForms, and RDFa. In 2022 he received the ACM SIGCHI Lifetime Practice Award, and in 2023 was named an ACM Distinguished Speaker.
Keynote Title: There's no I in AI
Abstract: There's no intelligence in current systems that we call 'AI', but apparently we think there is, and then get surprised when they give crazy wrong answers. Why is this, and what will happen when we get real intelligent systems? This talk gives an introduction to AI as we currently know it, examines how we interact with it, and envisions the consequences of real AI emerging.
University of Surrey
Adrian Hilton is Professor of Computer Vision, founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey. The focus of his research is Perceptual AI enabling machines to understand and interact with the world through seeing and hearing. This combines the fields of computer vision and machine learning to develop new methods for reconstruction, modelling and understanding natural scenes from video and audio. Since joining CVSSP in 1992, he has led research in 3D and 4D computer vision exploited in entertainment manufacture and healthcare. He has received two EU IST Prizes, a DTI Manufacturing Industry Achievement Award, and a Computer Graphics World Innovation award; eight best paper awards in international journals and conferences; and co-founded the European Conference on Visual Media Production. He held a Royal Society Wolfson Research Merit Award (2013--18) and a Royal Society Industry Fellowship (2008--11) with Framestore to investigate multi-view and 3D video in film production. He was elected Fellow of the Royal Academy of Engineering in 2019 and Fellow of the Institute of Engineering and Technology 2012 and received the IET Achievement Medal in 2018.
University of Warwick
Peter Triantafillou is a Professor of Data Systems and Head of the Data Sciences and Machine Learning Research Theme at the Department of Computer Science at the University of Warwick. He co-led the PVLDB Reproducibility effort (2018-2023), has been a Fellow of the Alan Turing Institute (2018-2023), and a member of the Advisory Board of PVLDB (2019-2023). Peter received his PhD in computer science from the University of Waterloo and was the Department of Computer Science and the Faculty of Mathematics nominee for the Gold Medal for outstanding achievements at the Doctoral level. Peter's research has won numerous awards, including the most influential paper award in ACM DEBS 2019, the best paper award at the ACM SIGIR 2016, the best paper award at the ACM CIKM Conference 2006, and the best student paper award at the IEEE Big Data 2018. Peter has served in the Technical Program Committees of more than 150 international conferences and has been the PC Chair or Vice-chair/Associate Editor in several prestigious conferences (including ACM SIGMOD, IEEE ICDE, PVLDB Reproducibility, VLDB, IEEE DSAA, EDBT, Middleware, and currently he is serving as a General co-chair for VLDB 2025).
Adobe Research
Prof. John Collomosse is a principal scientist at Adobe Research, where he leads research for the Content Authenticity Initiative (CAI) and two cross-industry task forces within the C2PA open standards body for media authenticity. He is a professor at the University of Surrey, where he is the founder and director of DECaDE, the UKRI Research Centre for the Decentralized Creative Economy. His research focuses on media provenance to fight misinformation and online harms, and on improving data integrity and attribution for responsible AI.