Artificial intelligence ethical method and robot for recognizing human beings without race prejudice

An artificial intelligence, human technology applied in the field of artificial intelligence ethical methods and robotics

Pending Publication Date: 2020-10-30
SOUTH CHINA NORMAL UNIVERSITY
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the defects or insufficiencies of the existing technology, and provide artificial intelligence ethical methods and robots for identifying human beings without racial prejudice, so as to solve the prejudice of the existing technology on skin color, and reduce the prejudice against people of race B and other skin colors, Thereby improving the accuracy of identification and reducing the ethical risks of artificial intelligence caused by bias

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artificial intelligence ethical method and robot for recognizing human beings without race prejudice
  • Artificial intelligence ethical method and robot for recognizing human beings without race prejudice

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the embodiments of the present invention.

[0061] One, basic embodiment of the present invention

[0062] In the first aspect, the embodiment of the present invention provides an artificial intelligence method

[0063] Such as figure 1 As shown, the method includes: the step of obtaining the scene to be recognized; the step of changing skin color; the step of obtaining the first event scene data set; the step of generating the second event scene data set; the second event scene training step; The method converts the skin color of the human beings in the event scene into the uniform skin color of race A people, thereby eliminating the prejudice caused by the skin color, thereby improving the accuracy of human identification.

[0064] Preferably, the method further includes: a skin color conversion model training step; a skin color conversion traini...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an artificial intelligence ethical method and robot for recognizing human beings without race prejudice. The method comprises the steps of obtaining a to-be-recognized scene; askin color changing step; a step of acquiring a first event scene data set; a step of generating a second event scene data set; a second event scene training step; and a human recognition step. According to the method, the system and the robot, skin color conversion is carried out through deep learning or an adversarial generative network, so that the prejudice of skin colors of B races and the like is reduced, the recognition accuracy is improved, and the artificial intelligence ethical risk caused by the prejudice is reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence ethical method and robot for identifying human beings without racial prejudice. Background technique [0002] In the process of realizing the present invention, the inventors found that there are at least the following problems in the prior art: the identification of human beings in the existing artificial intelligence ethics rules is the most basic requirement, which is very important, but there are algorithms for the identification of human beings in existing algorithms Prejudice, for example, the recognition rate of people of race B is lower than that of people of race A, or even people of race B cannot be identified. The solution in the prior art is to increase the sample size of people of race B, but this often cannot eliminate prejudice. [0003] Therefore, the prior art still needs to be improved and developed. Contents of the i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04
CPCG06V40/10G06V10/56G06N3/045G06F18/2415
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap