University of Canterbury
Dr. Christoph Bartneck is an associate professor and director of postgraduate studies at the HIT Lab NZ of the University of Canterbury. He has a background in Industrial Design and Human-Computer Interaction, and his projects and studies have been published in leading journals, newspapers, and conferences. His interests lie in the fields of Human-Computer Interaction, Science and Technology Studies, and Visual Design. More specifically, he focuses on the effect of anthropomorphism on human-robot interaction. As a secondary research interest he works on bibliometric analyses, agent based social simulations, and the critical review on scientific processes and policies. In the field of Design Christoph investigates the history of product design, tessellations and photography.
Prof. Kay Firth Butterfield
World Economic Forum
Tara Chklovski is CEO and founder of global tech education nonprofit Technovation. Prominently featured in the award-winning documentary Codegirl, Forbes named Chklovski “the pioneer empowering the incredible tech girls of the future” and Discovery Science Channel named her its first “CEO Science Super Star Hero” for her work encouraging the next generation of innovators, problem solvers, and game changers. A frequent advocate for STEM education, she’s presented at the White House STEM Inclusion Summit, SXSW EDU, UNESCO’s Mobile Learning Week, and led the 2019 education track at the UN AI for Good Global Summit. Since founding the organization in 2006, Technovation has welcomed more than 130,000 children and parents, and 14,000 mentors, to participate in its programs in 100+ countries.
IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa – Nairobi, Kenya.
She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries.
Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK). She was also a Postdoc researcher visitor at Jaén University (Spain) applying ML to Heritage and Archeological studies. She holds a PhD in Computer Science from Universidad del Sur (Argentina).
Institute for Public Law Brazil
Manuel Garcia Herranz
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid. He joined UNICEF in 2014 and has been since working to bring the value of Big Data to UNICEF, leading research at UNICEF’s Office of Innovation and creating collaboration networks and Data Science tools that focus on the problems of the most vulnerable children.
Nordic AI Institute
Dr. Christian Guttmann was recently named TOP 100 global AI leader in Artificial Intelligence, Machine Learning and Data Science. He advances AI technology and business to new heights for societal and economic prosperity in teams of bright and passionate minds. He has over 25+ years of experience in researching and building 100s of AI systems. He is professor, global head of AI and Data Science at TietoEVRY and executive director at the Nordic Artificial Intelligence Institute NAII (@nordicinst).
He shares the latest up to date news on AI on his Linkedin and Twitter (@ChrisXtg) channels every day, you are welcome to follow him on those channels.
California Polytechnic State University
Patrick Lin, PhD, is the director of the Ethics + Emerging Sciences Group at Cal Poly, where he is a full philosophy professor. He is currently affiliated with Stanford Law School, the 100 Year Study on AI, Czech Academy of Sciences, and the World Economic Forum. Previous affiliations include: Stanford’s School of Engineering, US Naval Academy, Univ. of Notre Dame, Dartmouth, UNIDIR, and the Fulbright specialist program (Univ. of Iceland). Prof. Lin is well published in technology ethics—incl. on AI, robotics, autonomous driving, cybersecurity, bioengineering, frontier development, nanotechnology, security technologies, and more—and is regularly invited to provide briefings on the subject to industry, media, and government. He teaches courses in ethics, philosophy of technology, and philosophy of law, and he earned his BA from UC Berkeley and PhD from UC Santa Barbara.
Christoph Lütge is Full Professor of Business Ethics and Director of the Institute for Ethics in Artificial Intelligence at Technical University of Munich (TUM). He has a background in business informatics and philosophy, having taken his PhD at the Technical University of Braunschweig in 1999 and his habilitation at the University of Munich (LMU) in 2005. He was awarded a Heisenberg Fellowship in 2007. His most recent books are: “The Ethics of Competition” (Elgar, 2019) and “Ethik in KI und Robotik” (Hanser, 2020, with coauthors). Lütge has held visiting positions at Harvard, University of Pittsburgh, University of California (San Diego), Taipei, Kyoto and Venice. He is a member of the Scientific Board of the European AI Ethics initiative AI4People as well as of the German Ethics Commission on Automated and Connected Driving. He has also done consulting work for the Singapore Economic Development Board and the Canadian Transport Commission.
Technical University of Munich
She is a Research Manager at Fujitsu Laboratories of Europe Limited (FLE) UK, where she is leading the AI Ethics research & activity through representing Fujitsu’s involvement at the AI4People forum, the EU AI Alliance, and the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. She is a GDPR-certified professional and participates in debates around AI Ethics, privacy, and digital trust. In previous research projects, she has been providing strategic direction with leadership and expert advice in various industry sectors such as Healthcare, Finance, IoT & Cyber Security. She has extensive experience in successfully leading projects internationally, negotiated complex and strategic contracts. Dr Naseer is an innovative scientist with several patents, and has been an author of numerous papers in journals, international conferences, and book chapters. She has also chaired various ACM and IEEE conference sessions, and organised multiple special tracks and workshops.
Center for Transnational Legal Studies
A former lawyer and professor of Jurisprudence at the Department of Law, University of Turin (Italy), Vice President of the Italian Association of Legal Informatics, Ugo is Faculty at the Georgetown’s Law School transnational center in London, UK (CTLS), and member of the Expert Group set up by the EU Commission on liability and new technology/new technologies formation. Professor at the Joint International Doctoral (PhD) degree program in Law, Science and Technology, an interdisciplinary integrated doctorate of the EU’s Erasmus Mundus EMJDs programs, Ugo is author of eleven monographs and numerous essays in scholarly journals and book chapters. His main interests are Artificial Intelligence & law, network and legal theory, governance, and information technology law (specially data protection law and copyright).
University of Edinburgh
Professor Burkhard Schafer holds the Chair of Computational Legal Theory at the University of Edinburgh, where he co-founded and for many years acted as director of the SCRIPT Centre for IT and IP law, and the Jospeh Bell Centre for Legal Reasoning and Forensic Statistics. His main research interest is the intersection between law and technology, both in the sense of regulation of technology (information technology law) and the use of technology in the justice system (legal informatics). He is member of the expert group AI4People at Atomium, the Data Ethics group of the Alan Turing Institute, and in Edinburgh representing the legal and ethical side of Creative Informatics, a large RD cluster that aims to support the creative industries in their digital transformation.
Google Brain and IT University, Copenhagen
Catholic University of Leuven (KU Leuven)
Peggy Valke is professor of law & technology at KU Leuven, member of the management board of the Leuven Centre for IT & IP Law (CiTiP), and principal investigator in the Security & Privacy Department of imec (previously iMinds). Her research focuses on the rise of artificial intelligence, in particular algorithmic decision-making, in law enforcement, transport, media services, etc., and the ethical-legal implications thereof, especially in relation to human rights and the allocation of responsibilities / legal liabilities. She is actively involved in shaping the debate on AI ethics and regulation in Belgium and Europe as co-director of the Flemish Centre on Data & Society, co-chair of the Council of Europe’s recently established Ad Hoc Committee on Artificial Intelligence (CAHAI); a member of Google’s Advisory Council on the Right to be Forgotten and a member of the Scientific Committee of AI4People.
The Gov Lab, New York University
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology.
He is the Curator and Editor of the Living Library and The Digest.
Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.