Celeste Kidd is an Assistant Professor of Psychology at the University of California, Berkeley, where her lab investigates learning and belief formation. The Kidd Lab is one of few in the world that combine technologically sophisticated behavioral experiments with computational models in order to broadly understand knowledge acquisition. Her lab employs a range of methods, including eye-tracking and touchscreen testing with human infants, in order to show how learners sample information from their environment and build knowledge gradually over time. Her work has been published in PNAS,Neuron, Psychological Science, Developmental Science, and elsewhere. Her lab has received funding from NSF, DARPA, Google, the Jacobs Foundation, the Human Frontiers Science Program, and the Templeton Foundation. She is a recipient of the American Psychological Science Rising Star designation, the Glushko Dissertation Prize in Cognitive Science, and the Cognitive Science Society Computational Modeling Prize in Perception/Action. Kidd was also named as one of TIME Magazines 2017 Persons of the Year as one of the “Silence Breakers” for her advocacy for better protections for students against sexual misconduct.

Deepak Agarwal is a vice president of engineering at LinkedIn where he is responsible for all AI efforts across the company. He is well known for his work on recommender systems and has published a book on the topic. He has published extensively in top-tier computer science conferences and has coauthored several patents. He is a Fellow of the American Statistical Association and has served on the Executive Committee of Knowledge Discovery and Data Mining (KDD). Deepak regularly serves on program committees of various conferences in the field of AI and computer science. He is also an associate editor of two flagship statistics journals.

Danny is a Research Scientist at Google Brain in Montreal, Adjunct Professor in Computer Science at McGill University, and an Associate Member of the Mila Quebec AI Institute. His research interests are in the application of machine learning to problems involving highly structured data, with a particular interest in the intersection of machine learning and programming languages. He holds a Ph.D. from the Machine Learning group at the University of Toronto.
Previously Danny was a Researcher at Microsoft Research Cambridge UK and Research Fellow at University of Cambridge. His work has appeared broadly in the press (NPR Morning Edition, TechCruch, Wired, VentureBeat, Slate, Quartz) and has won awards at several conferences, including a Best Paper award at NeurIPS.

Gregory Dudek is Lab Head and VP Research at the Samsung AI Center Montreal. He is also a Chaired Professor at McGill University’s School of Computer Science (on leave of absence), a member of the McGill Research Centre for Intelligent Machines (CIM) and an Associate member of the Dept. of Electrical Engineering. From 2008-2016 he was the Director of the McGill School of Computer Science. He is the former Scientific Director of the NSERC Canadian Field Robotics Network (NCFRN) and is the director of its successor the NSERC Canadian Robotics Network. He is also the former Director of McGill’s Research Center for Intelligent Machines, a 25-year-old inter-faculty research facility. In 2008, he was made James McGill Chair. In 2010 he was awarded the Fessenden Professorship in Science Innovation. In 2010, he was also awarded the Canadian Image Processing and Pattern Recognition Award for Research Excellence and also for Service to the Research Community. In 2019 he was the General Chair of the International Conference on Robotics and Automation. He is co-author of over 250 refereed scientific publications.

AJung Moon is an Assistant Professor at McGill University (Dept. of Electrical & Computer Engineering). She is an experimental roboticist specializing in ethics and responsible design of interactive robots and autonomous intelligent systems. She studies how our interaction with machines influence people’s behaviours and decisions and investigates different ways to integrate our societal values in the design and deployment of autonomous systems. Prior to joining McGill, she served as a Senior Advisor for the UN Secretary-General’s High-level Panel on Digital Cooperation, a taskforce that investigated the need for improved technology governance and policy across national borders. She also ran a start-up AI ethics consultancy, Generation R Consulting and founded the Open Roboethics Institute, a Canadian nonprofit that investigates societal and ethical implications of robotics and AI.
She completed a BASc (University of Waterloo) in Mechatronics Engineering, and a MASc and a PhD (University of British Columbia) in Mechanical Engineering. She became a Vanier Scholar in 2013 and developed interactive robot behaviours that allows for a human and a robot to nonverbally negotiate their way out of conflicts that arise in human-robot teamwork. She currently serves on the Government of Canada Advisory Council on Artificial Intelligence among others.

Brian Cantwell Smith is Reid Hoffman Professor of Artificial Intelligence and the Human, as well as being Professor of Information, Philosophy, Cognitive Science, and the History and Philosophy of Science and Technology, and a Senior Fellow at Massey College.
Smith holds BS, MS and PhD degrees from the Massachusetts Institute of Technology (MIT). From 1981 to 1996 he was a Principal Scientist at the Xerox Palo Alto Research Center (PARC) and Adjunct Professor of Philosophy at Stanford University. He was a founder of the Center for the Study of Language and Information at Stanford University (CSLI), a founder and first President of Computer Professionals for Social Responsibility (CPSR), and President (1998-99) of the Society for Philosophy and Psychology (SPP). From 1996 to 2001 he was Professor of Cognitive Science, Computer Science, and Philosophy at Indiana University, and from 2001 to 2003 was Kimberly J. Jenkins University Distinguished Professor of Philosophy and New Technologies and professor in the departments of Philosophy and Computer Science at Duke University.
Smith moved to the University of Toronto in 2003, initially to serve as Dean of the Faculty of Information (2003–2008).

César A. Hidalgo is a Chilean-Spanish-American physicist, author, and entrepreneur. He currently holds a Chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI), an is also an Honorary Professor at the University of Manchester and a Visiting Professorship at Harvard’s School of Engineering and Applied Sciences.

From 2010 to 2019, Hidalgo lead MIT’s Collective Learning group, and was an Associate Professor at MIT. Prior to joining MIT, Hidalgo was a research fellow at Harvard.

Hidalgo is also a founder of Datawheel, an award winning company specialized in the creation of data distribution and visualization systems.

Hidalgo holds a PhD in Physics from the University of Notre Dame and a Bachelor in Physics from Universidad Católica de Chile.

Hidalgo is known for creating the field of Economic Complexity, which uses high resolution data and network methods to explain and predict patterns of industrial and economic development. Hidalgo is also known for the creation of multiple data visualization and distribution systems, and for advancing ideas on the use of Artificial Intelligence in democracy.

Hidalgo’s contributions have been recognized with numerous awards, including the 2018 Lagrange Prize, multiple Webby Awards (DataUSA, DataAfrica, & Streetchange), an Information is Beautiful Award (DataUSA), and the Bicentennial Medal of the Chilean Congress, among others. Hidalgo’s is the author of Why Information Grows (Basic Books, 2015), which has been translated to over ten languages and was a finalist for the Hayek Prize. Hidalgo is also a lead author of The Atlas of Economic Complexity (MIT Press, 2014), a highly cited book on the basic principles and methods used in economic complexity.

Deval is Data Science Lead for Assets and New Energies at Data Science CoE in Shell and one of the 100 Global Future Energy Leaders at World Energy Council. He holds a Doctorate in Mechanical Engineering and a Masters in Aerospace engineering. He is passionate about the role of digitalization in Energy Transition and is co-founder of Future Energy Lions network in Shell. Deval advises PandataTech, a Houston based startup as a board member and co-leads Data science sub-committee for Houston Exponential. Outside work, he enjoys cooking, traveling and reading.

Jana is a consultant for the Slovakian Government, Deputy Prime Ministers Office, on two agendas, AI and Women in Digital. She was appointed a Gender Equality Rapporteur for CAHAI, and has a legal and technical background.
She focuses on work related to AI regulatory frameworks within Council of Europe, the European Commission and the domestic Slovakian regulatory framework. She collaborated on Slovakian Digitalisation Strategy 2030 together with the Action plan focused on measures targeting design and deployment of artificial intelligence. These two documents came into effect mid-2020.
Prior to this, Jana’s most recent work in private sector was leading work on a rulebook of Robotics Process Automation (RPA) governance within a tier 1 investment bank within their technical architecture team, and establishing comparison and feasibility study on RPA vs. RDA implementation in large legacy technology stacks corporate environments. A designed instance of RPA and deployed into production environment became a software robot which can be used across multiple industries, and thanks to process engineering and AI functions, like Optical Character Recognition, automates repetitive and manual error prone mundane human tasks.
Jana’s extra curriculum work has involved setting up coding weekends for girls at Bank of America Merrill Lynch in London, and volunteering for CodeFirst:Girls London General course. She is passionate about activities promoting and supporting girls and women in their interests and uptake of STEM related fields of study and career.

John C. Havens is Executive Director of The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems that has two primary outputs – the creation and iteration of a body of work known as Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems and the recommendation of ideas for Standards Projects focused on prioritizing ethical considerations in A/IS. Currently there are fifteen approved Standards Working Groups in the IEEE P7000™ series.
He is also Executive Director for The Council on Extended Intelligence (CXI) that was created to proliferate the ideals of responsible participant design, data agency and metrics of economic prosperity prioritizing people and the planet over profit and productivity. CXI is a program founded by The IEEE Standards Association and MIT whose members include representatives from the EU Parliament, the UK House of Lords, and dozens of global policy, academic, and business leaders.
Previously, John was an EVP of Social Media at PR Firm, Porter Novelli and a professional actor for over 15 years. John has written for Mashable and The Guardian and is author of the books, Heartificial Intelligence: Embracing Our Humanity To Maximize Machines and Hacking Happiness: Why Your Personal Data Counts and How Tracking it Can Change the World.

Jose A. Murillo established and leads the Analytics Business Unit at Banorte –the second largest financial group in Mexico. His group has been recognized as a success story within the data and analytics industry. The value created with analytics on 2018, the third year of operations of his group, exceeded 700 million USD–during his tenure the value created has exceeded 1.7 billion dollars. This case was published at Harvard Business Review as an example of a company which made its analytics investments pay-off (2018). Also, his team obtained the Lafferty Global Award on Credit Card Excellence for the impact of analytics on customer equity (2016). Jose was named among the top analytics and data professionals in North America by Corinium in its first and second edition. He has been published in several industry and refereed journals, he is a frequent speaker at analytics forums and he is a member of Queen’s University Advisory Board for the Masters in Management Analytics.

Prior to Banorte, Jose was a top-ranking official at Mexico’s Central Bank and participated for more than a decade at the Monetary Policy Committee holding the staff’s view on inflation –a key variable for policy decision. Also, he was an advisor to the International Monetary Fund on statistics and led missions to Ecuador and Chile. At the academia he taught economics at Rice University, ITAM and El Colegio de Mexico. He holds a PhD in economics from Rice University and graduated from ITAM (Cum Laude and received national prizes from the Chamber of Commerce and Tlacalel Prize).

Mina Hanna is the Chair of the IEEE-USA Artificial Intelligence and Autonomous Systems Policy Committee, the current Co-Chair of the Policy Committee of the IEEE Standards Association’s Global Initiative on Ethics of Autonomous and Intelligent Systems and the current Vice Chair of the IEEE-USA Research and Development Policy Committee. He serves as Editor of the Science Policy Column and member of the editorial board of IEEE Computer magazine. He is also a member of the IEEE Computational Intelligence Society, the IEEE Society on Social Implications of Technology and IEEE TechEthics and is a Global Shaper of the World Economic Forum.
Mina is also a senior software consultant at Synopsys, Inc. Prior to joining Synopsys, he worked for 6 years at Intel Corporation in the Platform Engineering Group on the Intel Atom Processors and SOCs, having contributed to 10+ design tapeouts. Mina received his MSc in Electrical Engineering from Stanford University, and his BSc in Electrical Engineering from the University of Texas, Austin. His research interest lies in evaluating the impact of artificial intelligence, autonomous & intelligent systems and disruptive technologies on public safety, national security, responsible governance and social inclusion, and in exploring the political economy and policies surrounding the development of AI.

Dr. Sasha Luccioni is researcher working on AI for Humanity initiatives at the Mila AI institute, using Machine Learning to propose and develop solutions for key problems in areas such as the environment, health, education and ethics and bias.

Sasha got her PhD in Cognitive Computing from UQAM university in 2018, developing an Intelligent Tutoring System for language learning. After spending two years working in applied AI research, specifically in applying Deep Learning in industries such as customer service and banking, she decided to dedicate her skills in AI to making a difference in the world, joining Mila as a postdoctoral researcher in early 2019.

Since then, she has worked on research projects spanning Computer Vision and Natural Language Processing, in areas such as Climate Change awareness and education, as well as ethics and health. She has co-organized and participated in many conferences and workshops. She is also highly involved in community initiatives, serving on the Research and Policy Committee of Women in Machine Learning (WiML), as Chair of Content for Climate Change AI, and on the Advisory board of Kids Code Jeunesse.

Steven is a member of the IBM Canada senior leadership team. He is the VP of development for our Data and AI (Artificial Intelligence) and Hybrid Data Management and Business Analytics technology. He also leads the IBM Canada Labs for all of Canada and is located in the Markham location, which is one of our IBM Global labs supporting a number of our development products used by clients around the globe. Most recently Steven has been leading the Machine Learning and Data Science strategy for IBM’s Data and AI group, has delivered key strategic solutions including IBM Machine Learning, Watson Studio and is a Co-Author of Artificial Intelligence Evolution and Revolution. Steven is recognized for his expertise in leading large enterprise development teams. He’s worked with Clients and IBM teams as an experienced change agent to drive improvements and efficiency in how technology is used. He is recognized for being able to combine the deep technical knowledge with a Business lens, as clients work through their next chapter in digital reinvention and transformation journeys.

Tobias Rees is Founding Director of the Transformations of the Human program at the Berggruen Institute in Los Angeles; Reid Hoffman Professor at Parsons/the New School in New York; and a Fellow of the Canadian Institute For Advanced Research (CIFAR).

Previously he held positions at the University of Zurich/Switzerland and at McGill University in Montreal/Canada, where he served as William Dawson Chair.

He holds degrees in philosophy (Heidelberg/Germany); anthropology (Berkeley/USA); and neurobiology (Paris/France).

Rees is a globally recognized expert on the history of thought – on how the categories that silently structure our ways of thinking and doing emerged and changed over time.
His research focuses on how events –– the sudden or slow and accumulative emergence of the unanticipated –– undermine such categories of though and transform the previously taken for granted into questions no one has answers for.
More specifically, he is interested in how such events reconfigure or render obsolete the categories of the human, of nature, and of technology.

Alone and together with colleagues Rees has sought to build new conceptual and institutional possibilities for rendering visible the philosophical, aesthetic, and political stakes of contemporary technology and science.

He has worked as advisor to many North American and European Universities on how to re-invent the human sciences and has collaborated with curators and museums around the world.

Rees has a long-standing history of working with artists.

Yossi Matias is Vice President, Search & AI, at Google and the founding Head of Google’s site in Israel. He is leading efforts in Search (Google Autocomplete, Search Live Results, Google Trends, Search Console), Conversational AI (Google Duplex, Call Screen, Live Caption, Live Relay, Euphonia, Recorder, Pronunciation practice and Read It), and Research initiatives (from foundations to applications in Health). He is the global lead for Crisis Response (SOS Alerts, Public Alerts, Flood Forecasting) and the founding co-lead of Google’s AI for Social Good initiative. He is the founding executive lead of Google’s Launchpad program.

In addition to his experience as entrepreneur and executive, Prof. Matias is on the Computer Science faculty at Tel Aviv University, and previously a Research Scientist at Bell Labs and visiting professor at Stanford. He published over 100 papers and is the inventor of over 50 patents. He pioneered some of the early technologies for the effective analysis of big data, internet privacy, and contextual search, and is a member of a national committee about strategy for AI.

Yossi is a recipient of the Godel Prize and is an ACM Fellow.

See also https://yossimatias.net/

Samy Bengio (PhD in computer science, University of Montreal, 1993) is a research scientist at Google since 2007. He currently leads a group of research scientists in the Google Brain team, conducting research in many areas of machine learning such as deep architectures, representation learning, sequence processing, speech recognition, image understanding, large-scale problems, adversarial settings, etc.
He was the general chair for Neural Information Processing Systems (NeurIPS) 2018, the main conference venue for machine learning, was the program chair for NeurIPS in 2017, is action editor of the Journal of Machine Learning Research and on the editorial board of the Machine Learning Journal, was program chair of the International Conference on Learning Representations (ICLR 2015, 2016), general chair of BayLearn (2012-2015) and the Workshops on Machine Learning for Multimodal Interactions (MLMI’2004-2006), as well as the IEEE Workshop on Neural Networks for Signal Processing (NNSP’2002), and on the program committee of several international conferences such as NeurIPS, ICML, ICLR, ECML and IJCAI.

Jodie Wallis is Managing Director for Artificial Intelligence (AI) and Applied Intelligence at Accenture in Canada. Jodie is responsible for expanding Accenture’s business presence in the AI ecosystem, attracting top talent, and bringing innovation and global AI expertise to Canadian clients across all industries.
In her role, Jodie works with clients to develop AI strategies, discover sources of value and implement AI solutions. She also leads Accenture’s collaboration with business partners, government and academia and oversees Accenture’s investments in the Canadian AI ecosystem, including its sponsorship of the Vector Institute for Artificial Intelligence.
Through more than 25 years at Accenture, Jodie has developed deep expertise in management and technology consulting. She is a frequent speaker and contributor on the implications of AI for society and the future of work. Recent engagements include Collision (May 2019), the G7 Multistakeholder Conference on Artificial Intelligence: Enabling the Responsible Adoption of AI (Dec. 2018) and the Canada-UK Colloquium on Artificial Intelligence & Society: Choices, Risks and Opportunities (Nov. 2018).
Jodie is also co-host of Accenture’s award-winning podcast series “The AI Effect,” and was named one of the “10 Toronto artificial intelligence experts you should know” by ITBusiness.ca. Capping off an incredible year, she was recognized as Digital Leader of the Year at Canada’s Women in IT Awards.
Jodie earned her Bachelor of Mathematics with Honours from the University of Waterloo, where she majored in Operations Research and minored in Statistics and Computer Science. She actively volunteers in the Toronto community, serving as co-chair of the organizing committee for the Covenant House Guts + Glory Corporate Challenge, which raises funds for Canada’s largest agency serving at-risk, homeless and trafficked youth.

Constanza is interested in achieving an inclusive Fourth Industrial Revolution in emerging countries. This led her to found and direct C Minds (www.cminds.co), an impact technology agency based in San Francisco and Mexico City. From C Minds, Constanza works with governments and institutions in the development of public policy and programs on issues of digital transformation, seeking to enhance the benefits of new technologies in emerging countries. She also leads initiatives to explore the power of technology to accelerate financial innovation, sustainable mobility, safety, health and education, among other issues. Other initiatives that C Minds coordinates, such as the AI for Good Lab, seek to deepen the ethical debate on the social and labor consequences of the technological transformation we are experiencing, particularly in Mexico. C Minds is also collaborating with the Jalisco Government and Tec de Monterrey University to develop a first AI center in Guadalajara as part of a regional network to be built.

Constanza has been a consultant for the United Nations, the World Bank and national and local governments. Her work has been recognized in international media and she was named Global Shaper by the World Economic Forum, Gifted Citizen by City of Ideas, British Government’s International Leader by the Government of the United Kingdom, winner of the SU Global Impact Challenge in Mexico and a Singularity University GSP graduate, among other recognitions.