President Putin’s explicit declaration that the country that makes progress in artificial intelligence will rule the world has launched a new race for dominance. In this era of cognitive competition and total automation, every country understands that it must rapidly adopt AI or go bust. To stay competitive a country must have a strategy. But how should a government proceed? What areas it must focus on? Where should it even start? This book provides answers to these important, yet pertinent, questions and more. Presenting the viewpoints of global experts and thought leaders on key issues relating to AI and government policies, this book directs us to the future.
Inhoudsopgave
List of Illustrations; Chapter 1, Introduction, J. Mark Munoz and Al Naqvi; Part I, Strategic Frameworks of AI; Chapter 2, How to develop a country strategy for AI, Al Naqvi; Chapter 3, Global governance of artificial intelligence, Nicolas Miailhe and Yolanda Lannquist; Chapter 4, Government 4.0 and evidence-based policies : AI and data analytics to the rescue, Nathalie de Marcellis-Warin and Thierry Warin; Chapter 5, The strategic implications of artificial intelligence for international security, Jean-Marc Rickli; Part II, AI and Economic Development, Chapter 6, Using AI to improve economic productivity : A business model perspective, Oleksiy Osiyevskyy, Yongjian Bao and Carlos M. Da Silva; Chapter 7, Handling resultant unemployment from artificial intelligence, Margaret Goralski and Krystyna Gorniak-Kocikowska; Chapter 8, Building tech zones to enhance AI, Melodena Stephens; Part III, AI and the Enhancement of Governance; Chapter 9, Ai-government vs. e-government: How to reinvent government with AI?, Al Naqvi; Chapter 10, Economic governance when humans and Ai are at work; Dirk Nicolas Wagner; Chapter 11, Legal systems at a crossroads: Justice in the age of artificial intelligence, Nicolas Economou and Bruce Hedin; Chapter 12, The curious case of fake news: Fighting smart Machiavellian machines, Daniel Lemus Delgado and Armando Lopez-Cuevas; Chapter 13, Applications of artificial intelligence and RPA to improve government performance, Luis Soto and Sergio Biggemann; Chapter 14, Conclusion, J. Mark Munoz and Al Naqvi; Notes on Contributors; Index.
Over de auteur
Professor Al (Ali) Naqvi, one of the pioneers in the field of enterprise artificial intelligence, developed the first and most comprehensive body of knowledge and courses for leading universities in the following areas: AI in corporate strategy, finance, marketing, HR, competitive intelligence, CSR, deep learning, and supply chain management. Al Naqvi, a leading expert in transforming companies from the “e” to the “AI” era, has helped over 300 companies to benefit from his research. His professional research interests include artificial intelligence, applied AI, robotic process automation, deep learning, complex adaptive systems, cognitive organizations and leadership, and strategic cognitive transformation. He teaches several classes on applied artificial intelligence, deep learning, RPA, and cognitive transformation at the American Institute of Artificial Intelligence, Washington DC. He is the editor of the Journal of Artificial Intelligence in Business, Policy, and Economy and has designed several products using deep neural networks.
J. Mark Munoz is a professor of international business at Millikin University in Illinois, and a former visiting fellow at the Kennedy School of Government, Harvard University. He is a recipient of several awards including four best research paper awards, an international book award, a literary award, and the ACBSP Teaching Excellence Award among others. Aside from top-tier journal publications, he has authored/edited/co-edited over twenty books such as Winning Across Borders, International Social Entrepreneurship, Contemporary Microenterprises: Concepts and Cases, Handbook on the Geopolitics of Business, Managerial Forensics, Advances in Geoeconomics, and Global Business Intelligence.
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