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System and Method of Using Task Fingerprinting to Predict Task Performance - US-2015213392-A1

More about the patent "System and Method of Using Task Fingerprinting to Predict Task Performance "
ID: US-2015213392-A1

Danger Rate by editors: 83


Assignee: Carnegie Mellon University

Inventors: Aniket Dilip Kittur, Jeffrey Mark Rzeszotarski

Class: G06N99/005;G06Q50/01

Tags: Learning Machines; Social Networking.

Filing: 2013-09-27

Priority: 2012-09-27

Publication: 2015-07-30

Granted: 0000-00-00


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System and Method of Using Task Fingerprinting to Predict Task Performance - US-2015213392-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.