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In today’s rapidly evolving political landscape, the intersection of democracy, leadership, and governance with artificial intelligence (AI) has become a focal point for academic inquiry and practical explorations. This book is a machine-generated literature overview that explores the opportunities, challenges, and impacts of integrating AI technologies in democratic processes, leadership dynamics, and sustainable governance. Through a collection of thought-provoking chapters, readers will gain insights into the transformative potential of AI that revisits the tenets of deliberative democracy, redefines leadership roles, and rejuvenates public service delivery. This volume offers a comprehensive exploration of the processes and practices of democratic decision-making, leadership development, and sustainable governance. It serves as a valuable resource to academics, policymakers, and practitioners navigating through the concepts, dimensions, and praxis of democracy, leadership, and governance. It is an important value addition to the body of knowledge and paves the way for informed decision-making and responsible application of digital technologies for good governance.
The world is undergoing a profound set of digital disruptions that are changing the nature of how governments counter dissent and assert control over their countries. While increasing numbers of people rely primarily or exclusively on online platforms, authoritarian regimes have concurrently developed a formidable array of technological capabilities to constrain and repress their citizens. In The Rise of Digital Repression, Steven Feldstein documents how the emergence of advanced digital tools bring new dimensions to political repression. Presenting new field research from Thailand, the Philippines, and Ethiopia, he investigates the goals, motivations, and drivers of these digital tactics. Feldstein further highlights how governments pursue digital strategies based on a range of factors: ongoing levels of repression, political leadership, state capacity, and technological development. The international community, he argues, is already seeing glimpses of what the frontiers of repression look like. For instance, Chinese authorities have brought together mass surveillance, censorship, DNA collection, and artificial intelligence to enforce their directives in Xinjiang. As many of these trends go global, Feldstein shows how this has major implications for democracies and civil society activists around the world. A compelling synthesis of how anti-democratic leaders harness powerful technology to advance their political objectives, The Rise of Digital Repression concludes by laying out innovative ideas and strategies for civil society and opposition movements to respond to the digital autocratic wave.
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.
"Artificial intelligence (AI) and big data promise to help reshape the global order. For decades, most political observers believed that liberal democracy offered the only plausible future pathways for big, industrially sophisticated countries to make their citizens rich. Now, by allowing governments to monitor, understand, and control their citizens far more effectively than ever before, AI offers a plausible way for big, economically advanced countries to make their citizens rich while maintaining control over them--the first since the end of the Cold War. That may help fuel and shape renewed international competition between types of political regimes that are all becoming more "digital." Just as competition between liberal democratic, fascist, and communist social systems defined much of the twentieth century, how may the struggle between digital liberal democracy and digital authoritarianism define and shape the twenty-first? This work highlights several key areas where AI-related technologies have clear implications for globally integrated strategic planning and requirements development"--
An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.
"The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities"--Publisher.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
The variety, pace, and power of technological innovations that have emerged in the 21st Century have been breathtaking. These technological developments, which include advances in networked information and communications, biotechnology, neurotechnology, nanotechnology, robotics, and environmental engineering technology, have raised a number of vital and complex questions. Although these technologies have the potential to generate positive transformation and help address 'grand societal challenges', the novelty associated with technological innovation has also been accompanied by anxieties about their risks and destabilizing effects. Is there a potential harm to human health or the environment? What are the ethical implications? Do this innovations erode of antagonize values such as human dignity, privacy, democracy, or other norms underpinning existing bodies of law and regulation? These technological developments have therefore spawned a nascent but growing body of 'law and technology' scholarship, broadly concerned with exploring the legal, social and ethical dimensions of technological innovation. This handbook collates the many and varied strands of this scholarship, focusing broadly across a range of new and emerging technology and a vast array of social and policy sectors, through which leading scholars in the field interrogate the interfaces between law, emerging technology, and regulation. Structured in five parts, the handbook (I) establishes the collection of essays within existing scholarship concerned with law and technology as well as regulatory governance; (II) explores the relationship between technology development by focusing on core concepts and values which technological developments implicate; (III) studies the challenges for law in responding to the emergence of new technologies, examining how legal norms, doctrine and institutions have been shaped, challenged and destabilized by technology, and even how technologies have been shaped by legal regimes; (IV) provides a critical exploration of the implications of technological innovation, examining the ways in which technological innovation has generated challenges for regulators in the governance of technological development, and the implications of employing new technologies as an instrument of regulatory governance; (V) explores various interfaces between law, regulatory governance, and new technologies across a range of key social domains.