Algorithms And The End Of Politics

As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society. Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world. Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.

Politics in the Twentieth Century was dominated by a single question: how much of our collective life should be determined by the state, and what should be left to the market and civil society? Now the debate is different: to what extent should our lives be directed and controlled by powerful digital systems - and on what terms? Digital technologies - from artificial intelligence to blockchain, from robotics to virtual reality - are transforming the way we live together. Those who control the most powerful technologies are increasingly able to control the rest of us. As time goes on, these powerful entities - usually big tech firms and the state - will set the limits of our liberty, decreeing what may be done and what is forbidden. Their algorithms will determine vital questions of social justice. In their hands, democracy will flourish or decay. A landmark work of political theory, Future Politics challenges readers to rethink what it means to be free or equal, what it means to have power or property, and what it means for a political system to be just or democratic. In a time of rapid and relentless changes, it is a book about how we can - and must - regain control. Winner of the Estoril Global Issues Distinguished Book Prize.

Introduction : programmed sociality -- The multiplicity of algorithms -- Neither black nor box : (un)knowing algorithms -- Life at the top : engineering participation -- Affective landscapes : everyday encounters with algorithms -- Programming the news : when algorithms come to matter -- Conclusion : algorithmic life

Recent elections in the advanced western democracies have undermined the basic foundations of political systems that had previously beaten back all challenges -- from both the left and the right. The election of Donald Trump to the U.S. presidency, only months after the United Kingdom voted to leave the European Union, signaled a dramatic shift in the politics of the rich democracies. In Anti-System Politics, Jonathan Hopkin traces the evolution of this shift and argues that it is a long-term result of abandoning the post-war model of egalitarian capitalism in the 1970s. That shift entailed weakening the democratic process in favor of an opaque, technocratic form of governance that allows voters little opportunity to influence policy. With the financial crisis of the late 2000s these arrangements became unsustainable, as incumbent politicians were unable to provide solutions to economic hardship. Electorates demanded change, and it had to come from outside the system. Using a comparative approach, Hopkin explains why different kinds of anti-system politics emerge in different countries and how political and economic factors impact the degree of electoral instability that emerges. Finally, he discusses the implications of these changes, arguing that the only way for mainstream political forces to survive is for them to embrace a more activist role for government in protecting societies from economic turbulence. A historically-grounded analysis of arguably the most important global political phenomenon at present, Anti-System Politics illuminates how and why the world seems upside down.

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?

Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner

The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Intelligence challenges in the digital age : Cloaks, daggers, and tweets -- The education crisis : How fictional spies are shaping public opinion and intelligence policy -- American intelligence history at a glance-from fake bakeries to armed drones -- Intelligence basics : Knowns and unknowns -- Why analysis is so hard : The seven deadly biases -- Counterintelligence : To catch a spy -- Covert action - "a hard business of agonizing choices" -- Congressional oversight : Eyes on spies -- Intelligence isn't just for governments anymore : Nuclear sleuthing in a Google earth world -- Decoding cyber threats.