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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.
How to put democracy at the heart of AI governance Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline.com. This insightful book explores the citizen-government relation, as mediated through artificial intelligence (AI). Through a critical lens, Jérôme Duberry examines the role of AI in the relation and its implications for the quality of liberal democracy and the strength of civic capacity.
This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of politics. It further examines the impact of artificial intelligence (AI) on the nexus between politics, economics, and law. The book raises and answers several important questions: What is the role of AI in politics? Are people prepared for the challenges presented by technical developments? How will Al affect future politics and human society? How can politics and law deal with Al's disruptive technologies? What impact will AI and technology have on law? How can efficient cooperation between human beings and AI be shaped? Can artificial intelligence automate public decision-making? Topics discussed in the book include, but are not limited to digital governance, public administration, digital economy, corruption, democracy and voting, legal singularity, separation of power, constitutional rights, GDPR in politics, AI personhood, digital politics, cyberspace sovereignty, cyberspace transactions, and human rights. This book is a must-read for scholars and students of political science, law, and economics, as well as policy-makers and practitioners, interested in a better understanding of political, legal, and economic aspects and issues of AI. .
In today’s global culture where the internet has established itself as a main tool of communication, the global system of economy and regulations, as well as data and decisions based on data analysis, have become essential for public actors and institutions. Governments need to be updated and use the latest technologies to understand what society’s demands are, and user behavioral data, which can be pulled by intelligent applications, can offer tremendous insights into this. The Handbook of Research on Artificial Intelligence in Government Practices and Processes identifies definitional perspectives of behavioral data science and what its use by governments means for automation, predictability, and risks to privacy and free decision making in society. Many governments can train their algorithms to work with machine learning, leading to the capacity to interfere in the behavior of society and potentially achieve a change in societal behavior without society itself even being aware of it. As such, the use of artificial intelligence by governments has raised concerns about privacy and personal security issues. Covering topics such as digital democracy, data extraction techniques, and political communications, this book is an essential resource for data analysts, politicians, journalists, public figures, executives, researchers, data specialists, communication specialists, digital marketers, and academicians.
Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world’s best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. The future of the data republic, life within a data democracy, and our digital freedoms An in-depth analysis of open science, open data, open source software, and their future challenges A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction A systematic review of AI methods applied to software engineering problems
"This book identifies the main uses that governments make of artificial intelligence and outlines define citizens' concerns about their privacy, covering topics that are essential to understanding how governments should use artificial intelligence in their practices and processes"--
Political issues people care about such as racism, climate change, and democracy take on new urgency and meaning in the light of technological developments such as AI. How can we talk about the politics of AI while moving beyond mere warnings and easy accusations? This is the first accessible introduction to the political challenges related to AI. Using political philosophy as a unique lens through which to explore key debates in the area, the book shows how various political issues are already impacted by emerging AI technologies: from justice and discrimination to democracy and surveillance. Revealing the inherently political nature of technology, it offers a rich conceptual toolbox that can guide efforts to deal with the challenges raised by what turns out to be not only artificial intelligence but also artificial power. This timely and original book will appeal to students and scholars in philosophy of technology and political philosophy, as well as tech developers, innovation leaders, policy makers, and anyone interested in the impact of technology on society.​