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Individual and user group attributes discovery and comparison from social media visual content - US-2017132250-A1

More about the patent "Individual and user group attributes discovery and comparison from social media visual content "
ID: US-2017132250-A1

Danger Rate by editors: 84


Assignee: International Business Machines Corporation

Inventors: Michele Merler, Jae-Eun Park, John R. Smith, Rosario Uceda-Sosa

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2015-11-05

Priority: 2015-11-05

Publication: 2017-05-11

Granted: 0000-00-00


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Individual and user group attributes discovery and comparison from social media visual content - US-2017132250-A1

HOME / ABOUT / HOW / SUPPORT / PRESS
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.