Difference between revisions of "Automatic gender recognition"
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==Background== | ==Background== | ||
| + | Automatic gender recognition works by using other forms of machine learning like [[Wikipedia:Facial_recognition_system|facial recognition]] and [[Wikipedia:Computer_vision|computer vision]] to infer gender by looking for key features such as facial hair or the tone of a person’s voice and comparing them to data that has the gender correctly labeled(CITATION TO 431 PAPER). | ||
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| + | Much like other forms of artificial intelligence, automatic gender recognition is increasingly being used to try and improve the user experience of things like shopping and interactive devices by using gender to help build up a user persona of what a user might like or want. | ||
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===Targeted Marketing=== | ===Targeted Marketing=== | ||
===Interactive/Adaptable Devices=== | ===Interactive/Adaptable Devices=== | ||
Revision as of 16:42, 12 March 2020
Automatic gender recognition (AGR) is the use of computer algorithms to attempt to identify a person’s gender based on pictures, video, or audio recordings. As a relatively new form of artificial intelligence, little research has been done on its implications on society when put into use.
Contents
Background
Automatic gender recognition works by using other forms of machine learning like facial recognition and computer vision to infer gender by looking for key features such as facial hair or the tone of a person’s voice and comparing them to data that has the gender correctly labeled(CITATION TO 431 PAPER).
Much like other forms of artificial intelligence, automatic gender recognition is increasingly being used to try and improve the user experience of things like shopping and interactive devices by using gender to help build up a user persona of what a user might like or want.
