Adrian Weller is Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI, where he is also a Turing Fellow leading work on safe and ethical AI. He is a Principal Research Fellow in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he leads the project on Trust and Transparency. His interests span AI, its commercial applications and helping to ensure beneficial outcomes for society. He serves on several boards including the Centre for Data Ethics and Innovation. Previously, Adrian held senior roles in finance.
Professor Alex ‘Sandy’ Pentland directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited computational scientists in the world, and Forbes declared him one of the “7 most powerful data scientists in the world” along with Google founders and the Chief Technical Officer of the United States. He is on the Board of the UN Foundations’ Global Partnership for Sustainable Development Data, co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR, and was central in forging the transparency and accountability mechanisms in the UN’s Sustainable Development Goals. He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy. Recent invited keynotes include annual meetings of OECD, G20, World Bank, and JP Morgan.
Bruno Lepri leads the Mobile and Social Computing Lab (MobS) at Fondazione Bruno Kessler (Trento, Italy). He has recently launched the Center for Computational Social Science and Human Dynamics, a joint initiative between Fondazione Bruno Kessler and the University of Trento. Since August 2019, he is also the Chief AI Scientist of ManpowerGroup where he collaborates with the global innovation team on AI projects for recruitment and HR management. Bruno is also a senior researcher at Data-Pop Alliance, the first think-tank on big data and development co-created by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, and Flowminder. In 2010 he won a Marie Curie Cofund postdoc fellowship and he has held a postdoc position at MIT Media Lab. He holds a Ph.D. in Computer Science from the University of Trento. Recently, he co-founded Profilio, a startup active in the field of AI-driven computational marketing. His research interests include computational social science, personality computing, network science, and machine learning. His research has received attention from several international press outlets and obtained the 10-year impact award at MUM 2021, the James Chen Annual Award for best 2016 UMUAI paper, and the best paper award at ACM Ubicomp 2014.
Carlos Castillo leads the Web Science and Social Computing research group at the University Pompeu Fabra. He is a web miner with a background in information retrieval and has been influential in the areas of crisis informatics, web content quality and credibility, and adversarial web search. He is a prolific, highly cited researcher who has co-authored over 90 publications in top-tier international conferences and journals, receiving two test-of-time awards, four best paper awards, and two best student paper awards. His works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search.
Emilia Gómez (Bsc/Msc in Electrical Engineering, PhD in Computer Science) is Principal Investigator on Human and Machine Intelligence (HUMAINT) at the Joint Research Centre, European Commission (EC) and scientific coordinator of AI WATCH, the EC initiative to monitor the advancements, uptake and impact of Artificial Intelligence in Europe. Her team contributes with scientific and technical knowledge to EC Artificial Intelligence (AI) policies including the recently proposed AI Act.
She is also a Guest Professor (on leave as Associate Professor, full professor accreditation) at Universitat Pompeu Fabra (Barcelona).
Her research is grounded on the Music IR field, where she contributes to the understanding of the way humans describe music and its computational modelling to support music listening experiences. Her research is interdisciplinary and incorporates knowledge from signal processing, human cognition, music theory and artificial intelligence. Starting from the music domain, she researches on the impact of AI into human behavior. In particular, she looks at the impact of AI on our jobs, decisions and children´s cognitive and socio-emotional development.
She has co-authored >150 peer-reviewed publications, open datasets and software packages. She has supervised 11 PhD theses (5 ongoing) and contributed to a high number of funded projects (4 as PI). She was also a co-founder of the MTG spin-off company BMAT. She was the first women president of the International Society for Music Information Retrieval, she was recognized by Commissioner Gabriele at the EUwomen4future initiative, and she is particularly involved in promoting the role of, and increasing opportunities for, women and improve diversity of technological fields.
She is currently a member of the Spanish National Council for AI and the OECD One AI expert group.
Scientific director at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He also holds a professorship at the University of Saarland. He received his Ph.D. (2005) and B.Tech. (2000) degrees in Computer Science and Engineering from the University of Washington and the Indian Institute of Technology, Madras, respectively.
Krishna’s research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems. His current projects focus on understanding and building social computing systems. His work has been widely cited and his papers have received numerous awards, including Test of Time Awards at ACM SIGCOMM and AAAI ICWSM. He received an ERC Advanced Grant in 2017 to investigate “Foundations for Fair Social Computing”.
Research Professor of the Spanish National Research Council (CSIC). Founder and former director of the Artificial Intelligence Research Institute (IIIA). Master of Sciences in Computer Science from the University of California Berkeley, PhD in Physics (Automatic Control) from the University of Toulouse, and PhD in Computer Science from the Technical University of Barcelona. A pioneer of Artificial Intelligence in Spain, with contributions, since 1976, in Pattern Recognition, Approximate Reasoning, Expert Systems, Machine Learning, Case-Based Reasoning, Autonomous Robots, and AI & Music. Author of nearly 300 papers. Former Editor-in-Chief of Artificial Intelligence Communications, editorial board member of several top international journals. Fellow of the European Association for Artificial Intelligence. Recipient, among other awards, of the “City of Barcelona” Research Prize in 1981, the “2011 Association for the Advancement of Artificial Intelligence (AAAI) Robert S. Engelmore Memorial Award”, the “2012 Spanish National Computer Science Award” from the Spanish Computer Society, the “2016 Distinguished Service Award of the European Association of Artificial Intelligence”, the “2017 IJCAI Donald E. Walker Distinguished Service Award” of IJCAI, and the “2018 National Research Award in Mathematics and ICT” of the Spanish Government. Member of the “Institut d’Estudis Catalans”. Presently working on case based reasoning, reinforcement learning and the hybridization of both Techniques.
Tanzeem Choudhury is a Professor of Computing and Information Sciences at Cornell Tech where she holds the Roger and Joelle Burnell Chair in Integrated Health and Technology. She is the Senior Vice President of Digital Health at Optum Labs and is a co-founder of HealthRhythms Inc, a company whose mission is to add the layer of behavioral health into all of healthcare. At Cornell, she directs the People-Aware Computing group, which focuses on innovating the future of technology-assisted well-being. The group’s research in sensing-to-intervention is helping transform healthcare from a reactive to proactive system. Tanzeem received her PhD from the Media Laboratory at MIT and her undergraduate degree in Electrical Engineering from University of Rochester. She has been awarded the MIT Technology Review TR35 award, NSF CAREER award, TED Fellowship, Kavli Fellowship, ACM Distinguished Membership, and Ubiquitous Computing 10-year Impact Award.