Document Type
Blog Post
Publication Date
2-21-2022
Graduation Year
2023
Abstract
Artificial Intelligence (“AI”) could be understood as information gathered through the use of technical machines that focus on cognition. At the micro-level, some examples of AI collecting devices include emotional detection tools, numberplate recognition devices, social network analysis devices, and – most known – Facial Recognition Technologies. Facial Recognition Technologies (“FRT”) compile and analyze human faces and are often used to build complex systems of identification and tracking. AI and FRT have been employed by various industries, including the advertising industry, the government, and the criminal legal system.
This post was originally published on the Cardozo International & Comparative Law Review on February 21, 2022. The original post can be accessed via the Archived Link button above.
Recommended Citation
Bohorquez, Ivan, "Facial Recognition Technology: Issues, Legislation, and a Need for Education" (2022). CICLR Online. 39.
https://larc.cardozo.yu.edu/ciclr-online/39
