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Document analysis system that uses machine learning to predict subject matter evolution of document content - US-2017270430-A1

More about the patent "Document analysis system that uses machine learning to predict subject matter evolution of document content "
ID: US-2017270430-A1

Danger Rate by editors: 54


Assignee: Ca, Inc.

Inventors: Jaume Ferrarons Llagostera, David Sánchez Charles, Victor Muntés Mulero

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2016-03-21

Priority: 2016-03-21

Publication: 2017-09-21

Granted: 0000-00-00


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Document analysis system that uses machine learning to predict subject matter evolution of document content - US-2017270430-A1

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SOCIALITY AIMS TO EXPLOIT INTELLECTUAL PROPERTY LAWS FOR MONITORING AND REGULATING HAZARDOUS INFORMATION TECHNOLOGY. AS AN ARTISTIC PROVOCATION, IT PROPOSES THE DEMOCRATIC BANNING OF SOCIALLY HARMFUL INVENTIONS THAT EMPLOY DEVIOUS PSYCHOLOGICAL AND PROFILING TACTICS THROUGH ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA MINING, SOCIAL MEDIA, USER INTERFACES AND TRACKING, IN FAVOR OF A MORE ETHICAL USE OF TECHNOLOGY.
This is a socially engaged Internet artwork by Paolo Cirio.