AI and COVID-19Aug 24, 14:10 Montreal Time (EDT)
Faculty, Computational Health Informatics Program (CHIP), Research Associate, Harvard Medical School
- Galit Alter
Professor of Medicine, Harvard Medical School
- Tina D Purnat
Principal Expert in eHealth and Digital Innovations for Public Health · European Centre for Disease Prevention and Control (ECDC)
- Qi (Rose) Yu
Assistant professor at UC San Diego department of Computer Science and Engineering and Halıcıoğlu Data Science Institute.
- Dr. Viola Priesemann
Research Group Leader Neural Systems Theory, Max Planck Institute for Dynamics and Self-Organization
- Dr Lele Rangaka
Clinical Senior Lecturer /Associate Professor. Institute for Global Health
AI Ethics and GovernanceAug 25, 14:30 Montreal Time (EDT)
CReSTIC, University of Reims Champagne Ardenne and IFIP (Chair TC12-AI)
- Amal El Fallah Segrouchni,
Sorbonne University, UM5, COMEST (UNESCO), France/Maroc
- Anthony Wong,
lawyer, AGW Consulting Pty Ltd, Australia, IFIP
- Michael Zeldich
Artificial Labor Leasing, New York, USA
- David-Raphael Bravo-Marcial
EPITA, l’école des ingénieurs en intelligence informatique
AI in Sustainability and Human Well-beingAug 26, 11:30 Montreal Time (EDT)
Michela Milano is full professor of Artificial Intelligence at DISI – University of Bologna
- Ieva Martinkenaite
Vice President of Telenor Research and Head of Analytics and AI team,Ieva Martinkenaite is among the key figures at Telenor Group contributing to building AI research and innovation ecosystem in Norway. She leads a team of data scientists and Machine Learning engineers in Telenor and several high profile regional and national appointments in AI. As Vice President of Telenor Research and Head of Analytics and AI team, Ieva is responsible for advancing research and driving research-based innovation in Telenor within data analytics, AI and IoT. Her work also involves advisory to Telenor executives and business leaders on digital technologies and innovation strategy. Concurrently, Ieva leads a joint AI task force of Europe’s largest telecommunication operator association ETNO and GSMA Europe.She has more than 15 years of experience in product development, business research and advisory, and holds several Board membership positions. During 2018-2020 Ieva represented Telenor in the European Commission’s High-Level Expert Group on Artificial Intelligence that provided ethics guidelines for Trustworthy AI and recommendations on the implementation of European Strategy on AI. Ieva holds a PhD in Strategic Management from BI Norwegian Business School.
- Dr. Jean-Christophe Pazzaglia
Chief Support Architect Higher Education & Research and managed theBig Data Value ecosystemproject and is leading the pilot AI4Citizen in the AI4EU project.Dr. Jean-Christophe Pazzaglia is Chief Support Architect / Center of Expertise Public Services and managed the Big Data Value ecosystem project and is leading the pilot AI4Citizen in the AI4EU project. He is actively involved in the activity related to trustworthy AI at SAP corporate level and within the Industrial Research Council for Artificial Intelligence.While initially working on AI – multi agent systems / neural networks and reflexive languages, he started to work on ICT Security in 2000. Former director of the SAP Research Center Sophia Antipolis – France managing the team focusing on Security Engineering, he was the principal investigator for SAP of numerous research projects of the French and EU framework programs. Complementary, within SAP University Alliance, he is giving seminars on Cloud Security and SAP BI, he teaches and co-developed the OpenSAP lecture on Scratch for teenagers within the corporate Social Responsibility initiative at SAP. Jean-Christophe is Design Thinking coach and engaged with the local startup ecosystem as local contact point with the Village By CA incubator.Jean-Christophe holds a Ph.D. from the University of Nice-Sophia Antipolis (1997) and graduates the Essentials of Management program of University of St Gallen (2009).
- Dr. Milan Petković
Head of the AI Data Science & Digital Twin department at Philips,Prof. Dr. Milan Petković is the head of the AI Data Science & Digital Twin department at Philips, which conducts innovation projects in the domain of AI and data science in healthcare. He is also AI Lead of the Connected Care cluster at Philips and a part-time full professor at the Eindhoven University of Technology. Prof. Petković is also a vice president of the BDVA association and he serves on the board of ADRA (private side of new AI & Data public private partnership with the European Commission). On behalf of Philips and TU/e he participated in several standardization initiatives and led several Dutch national and EU projects.
- Fabio De Pasquale
Atos, Global Digital Business Development & Innovation team for the Manufacturing Industry.Fabio De Pasquale Architect, with a consolidated background in Digital Transformation, Fabio works at Atos, and he is part of the Global Digital Business Development & Innovation team for the Manufacturing Industry.He is also part of the Atos Expert Community as Senior Expert in Industry 4.0, Decarbonization and Sustainability focused to the Automotive, Discrete Manufacturing and Consumer Packaging Goods and F&B markets.
Computational Sustainability is an interdisciplinary field that applies techniques from a broad set of disciplines like computer science, information science, operations research, applied mathematics, and statistics to solve global challenges for balancing environmental, economic, and societal needs for sustainable development. The main aim is to develop computational and mathematical models and methods for decision making concerning the management and allocation of resources in order to help solve some of the most challenging problems related to sustainability and human well being. Last year at IJCAI we have held a panel focusing more on the research perspective. We want now to focus on the industrial perspective, on how industry is facing and contributing to this field with applications, but also internal processes and best practices. In addition, sustainability is one of the dimensions of Trustworthy AI promoted by the European Commission. How does this dimension translates is technical and functional requirements for AI application is still an open question.
- Dr. Milan Petković
AI for FinTechAug 25, 23:00 Montreal Time (EDT)
Chair Professor at Department of Computer Science and Engineering, Hong Kong University of Science and Technology
- Dr. Wenyuan Dai
Founder and CEO Fourth Paradigm Ltd. Beijing, China
- Prof. Charles Elkan
Managing director and the global head of machine learning at Goldman Sachs; Professor at Computer Science and Engineering Department at the University of California, San Diego
- Dr. Xuchun Li
Deputy Director & Head of AI Development Office, FinTech & Innovation Group, Monetary Authority of Singapore
- Prof. Manuela Veloso
Head, JP Morgan Chase AI Research, and Herbert A. Simon University Professor Emeritus, School of Computer Science Carnegie Mellon University
- Yanqing Yang
Director, Strategic Research, Center of Shanghai AI Laboratory
The topics to be discussed in this panel include:
1. What are the major areas of AI application in financial technology? What about your own experience?
2. What are the benefits of using AI in Fintech? What can AI learn from Fintech?
3. What are the major challenges of using AI in Fintech?
Women in CS: where are we? what to do next?Aug 26, 23:00 Montreal Time (EDT)
Professor of Computer Science and Engineering, University of Minnesota
- Maja Mataric
Chan Soon-Shiong Distinguished Professor of Computer Science, Neuroscience, and Pediatrics, Interim Vice President of Research,University of Southern California
- Lexing Xie
Professor, Computer Science, the Australian National University.
- Min Zhang
Ph.D & Associate Professor, Information Retrieval Group National Lab of Intelligent Tech. & Sys. Department of Computer Sci.& Tech. Tsinghua University, Beijing, China
- Ece Kamar
Senior Principal Research Area Manager, Microsoft Research
- Sarit Kraus
Bar-Ilan University, Israel