The present invention relates to a method for improving reliability of artificial intelligence-based object recognition using collective intelligence-based mutual verification, in which: in a server interworking with an artificial intelligence module, one or more object regions included in learning data including a structured image or an unstructured image of a recognition target object to be recognized through the artificial intelligence module are recognized; object region recognition data which sets the recognized object regions is extracted and is provided to one or more user terminals in a designated order; a procedure for receiving, from the user terminals, object region selection data which selects at least one effective object region corresponding to the recognition target object among one or more object regions included in the object region recognition data is performed for a predetermined period of time; and the object region selection data for each user received from the user terminals is mutually compared and analyzed by the same object region selection data, a collective intelligence-based mutual-verification procedure is performed, wherein the verification procedure is for selecting the object region selection data in which users of a designated ratio or more, among users who select the effective object region for each of the object region selection data, select the same effective object region, learning data to be injected into the artificial intelligence module and to be learned in order to improve reliability of the artificial intelligence module is determined, and the learning data is injected into the artificial intelligence module and is learned.
METHOD FOR IMPROVING RELIABILITY OF ARTIFICIAL INTELLIGENCE-BASED OBJECT RECOGNITION USING COLLECTIVE INTELLIGENCE-BASED MUTUAL VERIFICATION