This is an author meets critics session for Louise Amoore's 2020 book Cloud Ethics: Algorithms and the Attributes of Ourselves and Others
In Cloud Ethics: Algorithms and the Attributes of Ourselves and Others (2020, Duke University Press) Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethico-political 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.
|Panelist||Emily Gilbert University of Toronto||15|
|Panelist||Andrew Dwyer University of Oxford||15|
|Panelist||Louise Amoore Durham University||15|
|Panelist||Pip Thornton Royal Holloway, University of London||15|
|Panelist||Till Straube Goethe University Frankfurt||15|
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