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Dr. Louise Amoore presents their new book, Cloud Ethics: Algorithms and the Attributes of Ourselves and Others
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.
Dr. Louise Amoore is Professor of Political Geography and Deputy Head of Department. Her research and teaching focuses on aspects of geopolitics, technology and security. She is particularly interested in how contemporary forms of data and algorithmic analysis are changing the pursuit of state security and the idea of society.