Author Meets Critics: Louise Amoore's Cloud Ethics: Algorithms and the Attributes of Ourselves and Others (2020, Duke University Press)

Type: Panel
Theme:
Sponsor Groups: Political Geography Specialty Group
Organizers: Nathaniel O'grady
Chairs: Nathaniel O'grady

Description

This is an author meets critics session for Louise Amoore's 2020 book Cloud Ethics: Algorithms and the Attributes of Ourselves and Others

Book Blurb
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.


Agenda

Type Details Minutes
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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