Ajay Agrawal is a professor at the University of Toronto and Research Associate at the National Bureau of Economic Research in Cambridge, MA. He conducts research on the economics of science and innovation and recently coauthored the best-selling book "Prediction Machines: The Simple Economics of Artificial Intelligence."  He is founder of the Creative Destruction Lab and cofounder of Next AI, both programs focused on transforming AI projects into scalable businesses. He cofounded Kindred, a company that builds machines with human-like intelligence and that was named to The MIT Technology Review's 50 Smartest Companies of 2017 as well as CB Insights’ AI 100 (2018). In 2017, The Globe & Mail listed Professor Agrawal as one of the 50 Most Powerful People in Canadian Business.

Brent Barron is Director, Public Policy at CIFAR (the Canadian Institute for Advanced Research) where he is responsible for building relationships with CIFAR’s government partners and engaging the policy community around cutting edge science. He played an important role in the development of the Pan-Canadian Artificial Intelligence Strategy, and now oversees CIFAR’s AI & Society program, examining the social, ethical, legal, and economic effects of AI. Prior to this role, Brent held a variety of positions in the Ontario Public Service, most recently in the Ministry of Research, Innovation and Science.

Brent holds a Master’s in Public Policy from the University of Toronto, as well as a Bachelor’s in Media Studies from Western University.

Hallie is a Senior Strategist on Google’s Ethical Machine Learning Team, where she leads inclusive product and user testing for fairness. She is also an Assembly Fellow with Harvard's Berkman Klein Center and the MIT Media Lab. Her applied research with Assembly focuses on empowering government, tech startups, and large corporations to responsibly and ethically build, procure, and use advanced technologies like Artificial Intelligence.

She has spent the last decade working at the intersection of social justice and business, and is currently pushing for the design and development of inclusive technology that works for everyone. Before joining Google, she spent several years in management consulting where she led cross-functional teams using data visualization to envision the future of business.

Originally from Toronto, Canada, Hallie has an MA in Economics and Global Affairs from the Munk School at the University of Toronto, and a BA in Economics and Political Science from McGill University.

Samuel Dahan joined the Faculty of Law at Queen’s University as an Assistant Professor and Queen’s National Scholar in 2018. He is the Director of the Conflict Analytics Lab, a LegalTech global consortium on the application of data analytics and AI to dispute resolution and negotiation. He is an Adjunct Professor of Law at Cornell University, an affiliate faculty member of the Program on Negotiation at Harvard Law School, and a member of the European Incubator of the Brussels Bar.

Dr. David Hardoon is the Chief Data Officer and Head of the Data Analytics Group (DAG) at the Monetary Authority of Singapore (MAS).

The DAG leads MAS’ efforts to harness the power of data analytics to unlock insights, enhance the supervision of financial institutions, and make regulatory compliance more efficient for financial institutions.

Prior to his current engagement, Dr. Hardoon was co-founder and Executive Director at Azendian Solutions Pte. Ltd. where he was responsible for the advanced analytics practice and the positioning of business analytics advisory and services to clients across different business sectors across the region.

Dr. Hardoon received a B.Sc. in Computer Science and Artificial Intelligence with first class honors at Royal Holloway, University of London in 2002 and a PhD in Computer Science in the field of Machine Learning from the University of Southampton 2006. He is currently an Honorary Senior Research Associate at the Centre for Computational Statistics & Machine Learning, University College London.

Constanza Gomez Mont is committed to democratizing the benefits of the technological revolution. She has been working for the last 12 years in the innovation and development field, being a social entrepreneur and strategist that has founded 2 non-for profits, 3 national advocacy coalitions and have led the development of both national and local legislation and policies on climate change, public health, youth and open government. She bridges the gap among government and citizens, among different generations and diverse disciplines to create integral programs and sustainable impact.

She is founder of C Minds, a leading think and do tank on exponential technologies for economic and social development and founder of the AI for Good Lab which is helping drive a National AI effort for Mexico. She has been named Global Leader by the British Government (International Leaders Program), Gifted Citizen by the Festival of Brilliant Minds, Global Shaper by WEF among other recognitions. She is graduate of the Global Solutions Program of Singularity University.

Also, her belief in the power of knowledge transfer has allowed her to travel the world as a speaker and be an advisor to national, local and multinational institutions in development topics including digital government, public health, citizen participation, open data, open governance, climate change, social entrepreneurship, city innovation and exponential technologies applied to the social impact realm. Her work has been published in the media including Forbes, Reuters and the New York Times, among others.

Kathryn Hume is Vice President Product & Strategy for integrate.ai, a SaaS startup applying AI to drive growth and customer satisfaction for large enterprises, and a Venture Partner at ffVC, a seed- and early-stage technology venture capital firm, where she advises early-stage artificial intelligence companies and sources deal flow. As the former Director of Sales and Marketing at Fast Forward Labs (Cloudera), Kathryn helped Fortune 500 companies accelerate their machine learning and data science capabilities. Prior to that, she was a Principal Consultant in Intapp's Risk Practice, focused on data privacy, security, and compliance. A widely respected speaker and writer on AI, Kathryn excels at communicating how AI and machine learning technologies work in plain language. She has given lectures and taught courses on the intersections of technology, ethics, law, and society at Harvard Business School, Stanford, the MIT Media Lab, and the University of Calgary Faculty of Law. She speaks seven languages, and holds a PhD in comparative literature from Stanford University and a BA in mathematics from the University of Chicago.

Dr. Jason Millar is an Assistant Professor at the University of Ottawa’s School of Electrical Engineering and Computer Science, and an Affiliate Researcher at the Center for Automotive Research at Stanford. He researches the ethical engineering of robotics and artificial intelligence (AI), with a focus on developing tools and methodologies engineers can use to integrate ethical thinking into their daily engineering workflow. Jason’s work concerns the ethical engineering of automated vehicles, artificial intelligence, healthcare robotics, social and military robotics. Jason has a degree in engineering physics, and worked for several years as an engineer before turning his full-time attention to issues in philosophy and applied ethics. He received his PhD in applied ethics and philosophy from Queen’s University (Canada), and completed Postdoctoral Fellowships at both the University of Ottawa and Stanford University. He has authored book chapters, policy reports, and articles on the ethics and governance of robotics and AI. Jason has provided expert testimony at the UN CCW and the Senate of Canada on the ethics of military robotics, and consults internationally on policy, and ethical engineering issues in emerging autonomous vehicle technology. His work is regularly featured in the media, including articles in publications such as WIRED and The Guardian, and interviews with the BBC, CBC and NPR. He recently authored a chapter on ethics settings for autonomous vehicles in Robot Ethics 2.0 (OUP), and co-authored a chapter on metaphors in technology governance for the Oxford Handbook on the Law and Regulation of Technology (OUP).

David Lyon's research, writing, and teaching interests revolve around major social transformations in the modern world. Questions of the information society, globalization, secularization, surveillance, and debates over “post-” and “digital” modernity feature prominently in his work. Lyon was formerly an editor of Surveillance & Society and is Associate Editor of The Information Society. He also serves on the international editorial boards of several other journals. His books have been translated into seventeen languages: Arabic, Chinese, Czech, Danish, Dutch, Farsi, German, Hungarian, Italian, Japanese, Korean, Polish, Portuguese, Romanian, Spanish, Swedish and Turkish.

Kirsten Martin is an associate professor of Strategic Management and Public Policy at the George Washington University’s School of Business where she researches privacy, technology, and corporate responsibility. She has written about privacy and the ethics of technology in leading academic journals across disciplines (Journal of Business Ethics, Harvard Journal of Law and Technology, Journal of Business Research, etc) as well as practitioner publications such as MISQ Executive. She is the Research and Business Ethics editor for the Journal of Business Ethics and the recipient of NSF grants for her work on privacy, technology, and ethics. Dr. Martin is also a member of the advisory board for the Future Privacy Forum and the Census Bureau’s National Advisory Committee for her work on privacy and the ethics of Big Data. Dr. Martin is a fellow at the Business Roundtable Institute for Corporate Ethics for her work on stakeholder theory and trust. She earned her B.S. Engineering from the University of Michigan and her MBA and Ph.D from the University of Virginia’s Darden Graduate School of Business.

DJ Patil has held a variety of roles in Academia, Industry, and Government.

He is currently the Head of Technology at Devoted Health and a Senior Fellow at the Harvard Kennedy School. Dr. Patil was appointed by President Obama to be the first U.S. Chief Data Scientist where his efforts led to the establishment of nearly 40 Chief Data Officer roles across the Federal government. He also established new health care programs including the Precision Medicine Initiative and the Cancer Moonshot, new criminal justice reforms including the Data-Driven Justice and Police Data Initiatives that cover more than 94 million Americans, as well as leading the national data efforts. He also has been active in national security and for his efforts was awarded by Secretary Carter the Department of Defense Medal for Distinguished Public Service which the highest honor the department bestows on a civilian.

In industry, he led the product teams at RelateIQ which was acquired by Salesforce, was founding board member for Crisis Text Line which works to use new technologies to provide on demand mental and crisis support, and was a member of the venture firm Greylock Partners. He has also was Chief Scientist, Chief Security Officer and Head of Analytics and Data Product Teams at the LinkedIn Corporation where he co-coined the term Data Scientist. He has also held a number of roles at Skype, PayPal, and eBay.

As a member of the faculty at the University of Maryland, his research focused on nonlinear dynamics and chaos theory and he helped start a major research initiative on numerical weather prediction. As an AAAS Science & Technology Policy Fellow for the Department of Defense, Dr. Patil directed new efforts to leverage social network analysis and the melding of computational and social sciences to anticipate emerging threats to the US. He has also co-chaired a major review of US efforts to prevent bioweapons proliferation in Central Asia and co-founded the Iraqi Virtual Science Library (IVSL). In 2104 he was selected by the World Economic Forum as a Young Global Leader and is also a Member of the Council of Foreign Relations.

More details can be found on his LinkedIn profile and can be followed on twitter @dpatil

Cameron Schuler is the Chief Commercialization Officer & Vice President, Industry Innovation at the Vector Institute. He is the former Executive Director of Amii (amii.ca), where, for 8 years, he led one of the top-ranked Machine Learning and AI groups in the world. Cameron’s multifaceted career has covered finance, business & product development, consumer products, IT and general management from start-ups to mature companies. His industry experience includes Alternative Energy, Banking, Consumer Products, Information Technology (Consumer and Enterprise), Investment Sales and Trading, Life Sciences, Manufacturing, Medical Devices, Oil & Gas, and Oil & Gas Services. Roles have included COO, CFO, President and CEO and he was COO & CFO of a food manufacturer whose products lead to sales of over 250 million units.

Mark Van Hollebeke is a privacy professional at Microsoft. A former philosophy professor specializing in ethics, pragmatism, and social and political philosophy, his recent work at Microsoft centers on articulating the norms and ethical guidance required to design data-driven services in a principled manner. At Data & Society, he will work to broaden existing IT industry privacy practices to include moral inquiry about the nature of data use, as well as finding practical ways to interject ethical reflection into the data-analytics design process.

Markus D. Dubber, B.A. (Harvard) 1988, J.D. (Stanford) 1991, is Professor of Law & Criminology and Director of the University of Toronto's interdisciplinary Centre for Ethics. Much of Markus's scholarship has focused on theoretical, comparative, and historical aspects of criminal law. He has published, as author or editor, over twenty books and eighty papers; his work has appeared in English and German, and has been translated into Arabic, Chinese, Italian, Korean, Persian, Portuguese, and Spanish (ssrn | academia). His publications include The Dual Penal State: The Crisis of Criminal Law in Comparative-Historical Perspective (2018); Oxford Handbook of Legal History (with Christopher Tomlins) (2018); Oxford Handbook of European Legal History (with Heikki Pihlajamäki & Mark Godfrey) (2018); Criminal Law: A Comparative Approach (with Tatjana Hörnle) (2014); Oxford Handbook of Criminal Law (with Tatjana Hörnle) (2014); Foundational Texts in Modern Criminal Law (2014); The New Police Science: The Police Power in Domestic and International Governance (with Mariana Valverde) (2006); The Police Power: Patriarchy and the Foundations of American Government (2005); and Victims in the War on Crime (2002). For many years, Markus taught at SUNY Buffalo, where he launched the Buffalo Criminal Law Center and the Buffalo Criminal Law Review (now New Criminal Law Review). He is founding editor-in-chief of Oxford Handbooks Online (Law), Critical Perspectives on Law and Crime (Stanford), the online open-access journal Critical Analysis of Law (with Simon Stern), and C4eJournal: Perspectives on Ethics.

Stephanie Kelley is a PhD student in Management Analytics at the Smith School of Business at Queen’s University, where she also earned a Bachelor of Commerce and a Master of Management Analytics. She recently returned to academia after a career in consumer-packaged goods at Reckitt Benckiser where she took on a variety of roles in sales and marketing.

Stephanie’s research focuses on the organizational barriers that prevent the adoption of analytics and artificial intelligence technologies. Currently she is researching on the ethics of artificial intelligence in the Canadian financial services industry. Her academic studies in management analytics, combined with her industry experience in brand management, retail analytics, and sales provides her with a unique outlook on analytics and artificial intelligence business challenges.