In this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity. Over the past few decades, as the instrumentalization of algorithms has created knowledge that informs our decisions, preferences, tastes, and actions, and the very sense of who we are, they have also undercut, and arguably undermined, the Enlightenment-era ideal of the subject. Fisher finds that as algorithms enable a reality in which knowledge is created by circumventing the participation of the self, they also challenge contemporary notions of subjectivity. Through four case-studies, this book provides an empirical and theoretical investigation of this transformation, analyzing how algorithmic knowledge differs from the ideas of critical knowledge which emerged during modernity – Fisher argues that algorithms create a new type of knowledge, which in turn changes our fundamental sense of self and our concept of subjectivity. This book will make a timely contribution to the social study of algorithms and will prove especially valuable for scholars working at the intersections of media and communication studies, internet studies, information studies, the sociology of technology, the philosophy of technology, and science and technology studies.

We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: Algorithmic governmentality Transparency and accountability Fairness in criminal justice and predictive policing Principles of good digital administration Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society.

This collection considers algorithms at work, alongside black box control, platform society theory and the formation of subjectivities.

Algorithms are a form of productive power – so how may we conceptualise the newly merged terrains of social life, economy and self in a world of digital platforms? How do multiple self-quantifying practices interact with questions of class, race and gender? This edited collection considers algorithms at work – for what purposes encoded data about behaviour, attitudes, dispositions, relationships and preferences are deployed – and black box control, platform society theory and the formation of subjectivities. It details technological structures and lived experience of algorithms and the operation of platforms in areas such as crypto-finance, production, surveillance, welfare, activism in pandemic times. Finally, it asks if platform cooperativism, collaborative design and neomutualism offer new visions. Even as problems with labour and in society mount, subjectivities and counter subjectivities here produced appear as conscious participants of change and not so much the servants of algorithmic control and dominant platforms.

Algorithms are a form of productive power - so how may we conceptualise the newly merged terrains of social life, economy and self in a world of digital platforms? How do multiple self-quantifying practices interact with questions of class, race and gender? This edited collection considers algorithms at work - for what purposes encoded data about behaviour, attitudes, dispositions, relationships and preferences are deployed - and black box control, platform society theory and the formation of subjectivities. It details technological structures and lived experience of algorithms and the operation of platforms in areas such as crypto-finance, production, surveillance, welfare, activism in pandemic times. Finally, it asks if platform cooperativism, collaborative design and neomutualism offer new visions. Even as problems with labour and in society mount, subjectivities and counter subjectivities here produced appear as conscious participants of change and not so much the servants of algorithmic control and dominant platforms.

What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.