Handbook of Artificial Intelligence and Robotic Process Automation | Policy and Government Applications

On the commercial side, artificial intelligence applications are powering many sectors. Globally, governments are exploring how to comprehend, incorporate, apply, and use artificial intelligence technologies. The scope of government use of artificial intelligence technology goes beyond that of commercial organizations and is far more complex. In government, the challenges will be as follows: (1) How can governments use artificial intelligence technology to improve their efficiencies? (2) How can governments become more citizen-centric, service based, accessible, and responsive? (3) How can governments protect their citizens from the misuse of artificial intelligence (e.g., alleged Russian bots’ interference in U.S. elections)? (4) How can governments use artificial intelligence technology to make better policy decisions and avoid wrong decisions (economic, social etc.)? (5) How can governments develop new standards to govern and manage the deployment of artificial intelligence technologies (e.g., autonomous cars, financial markets and trading, healthcare bots)? (6) How will the legislative bodies respond to the rise of intelligent machines? (7) How will the use of artificial intelligence in the military change the arms race? (8) What roles governments will need to play in developing global standards related to artificial intelligence (United Nations)? (9) How can governments improve their countries’ productivity with artificial intelligence? (10) How can governments handle the upcoming unemployment that would result from AI automation? All the above questions are at an early stage of exploration and many have not been addressed comprehensively. This book deals with all the above issues and provides the first guide to governments and policy makers of the world on artificial intelligence.

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.

Professor Al (Ali) Naqvi founded the first artificial intelligence business school, the American Institute of Artificial Intelligence, in 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 has authored/edited/co-edited over twenty books.

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.

Professor Al (Ali) Naqvi founded the first artificial intelligence business school, the American Institute of Artificial  Intelligence, in 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 has authored/edited/co-edited over twenty books.

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.