We haven’t gone paperless yet : why the printing press can help us understand data and AI
Date
2021-07-30
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Publisher
Association for Computing Machinery, New York, NY, United States
Abstract
Algorithms are designed to encourage clicks rather than information quality. The paper explores how datafication, or quantification of human and non-human factors into binary code affects the identity of individuals and groups, which can be called a constitutive shift. The analogy of the printing press is used to provide a framework for understanding constitutive change. Terms such as “surveillance capitalism” permeate the public imagination to convey how companies are harnessing the data that people generate in order to create wealth for themselves while also controlling access to information.
Description
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Keywords
ARTIFICIAL INTELLIGENCE, DIGITIZATION, DATA COLLECTION, IDENTITY, MACHINE LEARNING, HUMAN RIGHTS, PRIVACY PROTECTION, FACIAL RECOGNITION, CAPITALISM, SURVEILLANCE, BUILT-IN BIAS, BIAS, GLOBAL, ALGORITHMS