Redesigning Ai

A look at how new technologies can be put to use in the creation of a more just society. Artificial Intelligence (AI) is not likely to make humans redundant. Nor will it create superintelligence anytime soon. But it will make huge advances in the next two decades, revolutionize medicine, entertainment, and transport, transform jobs and markets, and vastly increase the amount of information that governments and companies have about individuals. AI for Good leads off with economist and best-selling author Daron Acemoglu, who argues that there are reasons to be concerned about these developments. AI research today pays too much attention to the technological hurtles ahead without enough attention to its disruptive effects on the fabric of society: displacing workers while failing to create new opportunities for them and threatening to undermine democratic governance itself. But the direction of AI development is not preordained. Acemoglu argues for its potential to create shared prosperity and bolster democratic freedoms. But directing it to that task will take great effort: It will require new funding and regulation, new norms and priorities for developers themselves, and regulations over new technologies and their applications. At the intersection of technology and economic justice, this book will bring together experts--economists, legal scholars, policy makers, and developers--to debate these challenges and consider what steps tech companies can do take to ensure the advancement of AI does not further diminish economic prospects of the most vulnerable groups of population.

Designing AI companions can be a daunting task. In this comprehensive guide, you will find everything you need to know about designing AI companions. From understanding your user’s needs to designing engaging personalities and delightful interactions. The book highlights the research and user testing outcomes as best practices for reducing the complexity of technology and creating trustful connections between human and artificial intelligence. It will help and guide everyone, who is interested in designing new experiences, products, or services with artificial intelligence to design companions that are both personable and helpful by understanding the expressions of emotions and empathy with psychological, cognitive, and social theories.

Recent evolutions, such as pervasive networking and other enabling technologies, have been increasingly changing human life, knowledge acquisition, and the way works are performed and students learn. In this societal change, educational institutions must maintain their leading role. They have therefore embraced digitally enhanced learning to provide increased flexibility and access for their students. The Handbook of Research on Redesigning Teaching, Learning, and Assessment in the Digital Era provides insights into the transformation of education in the digital era and responds to the needs of learners of any context and background through relevant studies that include sound pedagogical and content knowledge. Covering key topics such as hybrid learning, media, remote learning, and social media, this major reference work is ideal for administrators, policymakers, academicians, researchers, scholars, practitioners, librarians, instructors, and students.

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs

Could democracy do better? This book presents a vision on optimal democracies and a set of new rules to help achieve them. The monograph follows on the author’s successful book “Designing Democracy” from 2005 and further develops its ideas. While liberal democracies are the best systems of self-governance for societies, they rarely provoke great enthusiasm. Democracies have been known to fail in achieving efficient outcomes and fair distributions of wealth. Moreover, many citizens take the democratic system for granted, simply because they have yet to experience an alternative. This book argues that the potential offered by democracies has not yet been exhausted, and that optimal democracies are both the Utopia for societies and the aim that scientists should commit themselves to making a reality. Furthermore, the book suggests a number of insightful rules to improve the functioning of democracies. “We all know what to do, we just don’t know how to get re-elected after we have done it.” This famous quip by Jean-Claude Juncker perfectly encapsulates the challenge this book takes on: how to redesign our democratic institutions to overcome political short-termism and make our democracies more efficient. Several radical but highly relevant proposals are explored, ranging from long-term incentive contracts for politicians, prediction markets over the outcomes of the next election that could be useful for incentive purposes, minority voting, initiative group constitutions, and so on. All these highly innovative proposals are rigorously grounded in standard economic analysis. I highly recommend this book to anyone concerned about the state of our democracies and looking for constructive reforms. Patrick Bolton, Columbia University, USA In a time of reeling democracies, it is urgent to explore how to improve on the electoral system for the benefit of society. Hans Gersbach has developed a most innovative and thought-provoking research agenda at the intersection of political theory, social choice and mechanism design. He uncovers the potentially positive effects of political contracts between candidates and society, of new rules for agenda setting and of mechanisms compensating the minorities. Marc Fleurbaey, Princeton University, USA

This book offers readers a deeper understanding of the Cyberspace, of how institutions and industries are reinventing themselves, helping them excel in the transition to a fully digitally connected global economy. Though technology plays a key part in this regard, societal acceptance is the most important underlying condition, as it poses pressing challenges that cut across companies, developers, governments and workers. The book explores the challenges and opportunities involved, current and potential future concepts, critical reflections and best practices. It addresses connected societies, new opportunities for governments, the role of trust in digital networks, and future education networks. In turn, a number of representative case studies demonstrate the current state of development in practice.

"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--