Cloud Ethics

In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics-an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.

Louise Amoore is Professor of Political Geography at Durham University and author of The Politics of Possibility: Risk and Security beyond Probability, also published by Duke University Press.

Acknowledgments  xi Introduction. Politics and Ethics in the Age of Algorithms  1 Part 1. Condensation 1. The Cloud Chambers: Condensed Data and Correlative Reason  29 2. The Learning Machines: Neural Networks and Regimes of Recognition  56 Part 2. Attribution 3. The Uncertain Author: Writing and Attribution  85 4. The Madness of Algorithms: Aberration and Unreasonable Acts  108 Part 3. Ethics 5. The Doubtful Algorithm: Ground Truth and Partial Accounts  133 6. The Unattributable: Strategies for a Cloud Ethics  154 Notes  173 Bibliography  197 Index  212