Machine Diagnosis

Amaro, Ramon. 2020. Machine Diagnosis. Open! Journal, [Article]

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Abstract or Description

Ramon Amaro signals traces of political arithmetic thought in government responses to the COVID-19 pandemic. Amaro goes into the wider implications of human quantification and data consolidation and asserts that COVID-19 analysis tools, vaccine research, and detection devices risk leaving open future gaps in data privacy, while also centralizing the patient data into government forecasting efforts. We must consider what impact data consolidation might have on future, even non health related, surveillance programmes. It must be asked whether the risks involved outweigh the immediacy of crisis; and if so, what traces of political and economic speculation based on our intimate medical data might be left behind. This essay is part of the publication and research project of Open! about sense of touch in the digital age.

Item Type:

Article

Keywords:

COVID-19, corona virus, algorithms, machine learning, political arithmetic, critical theory

Departments, Centres and Research Units:

Visual Cultures

Dates:

DateEvent
28 April 2020Published

Item ID:

28494

Date Deposited:

21 May 2020 14:14

Last Modified:

21 May 2020 14:18

URI:

http://research.gold.ac.uk/id/eprint/28494

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