Research Paper on Ethical Issues of Facial Recognition

📌Category: Ethics, Psychology, Science, Technology
📌Words: 361
📌Pages: 2
📌Published: 07 February 2022

According to Microsoft founder Bill Gates, “ The advance of technology is based on making it fit in so that you don’t really even notice it, so it’s part of everyday life” (Gates). Technology has evolved since the start of humanity from the invention of weapons and toots constructed out of stone, to the innovation of computers, cell phones, televisions, and other appliances used in everyday life.  One advanced technology that will soon become an integral part of our daily life is Facial Recognition. Facial Recognition Technology (FRT) is a biometric system used to identify facial features from a digital image. This technology then compares the data it has collected with a database of faces in order to find a match (Phillips et al, 2014). Facial recognition has become one of the most significant and innovative artificial intelligence (AI) technologies used worldwide. It is said that this innovative technology will grow exponentially by 17.2% from 2019 to 2024 in various fields. However, with the increased application of this technology in these various fields, there are many ethical issues that need to be addressed such as invasion of privacy & misrepresentation of individuals. The purpose of this study is to analyze the underlying ethical issues of facial recognition when it comes to security, privacy, and other et.

The facial recognition system works through prepared calculations that decide the different particular subtleties in an individual's face, for example, the number of pixels that can fit between their eyes or the bend of their lips, among different subtleties deciphered consistently to reproduce the face inside the framework. This entertainment is then contrasted and a wide exhibit of countenances put away in the framework information base. In the event that the calculations identify that the amusement numerically coordinates with a face present in the information base, then, at that point, the framework 'remembers' it and does the client's undertaking. 

Aside from executing these identify facial features in a matter of seconds, the present facial recognition frameworks can take care of their work capability even in low brightness and image resolution.

Facial recognition is significant in guaranteeing data security. Various establishments are utilizing facial recognition for character and security. Security and misidentification are the principal issues of facial innovation. In spite of the issues of facial recognition, the innovation has been effective in advancing public safety through law implementation.

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