AI BASED FACIAL RECOGNITION TECHNOLOGY AND CRIMINAL JUSTICE: ISSUES AND CHALLENGES
Main Article Content
Abstract
Law enforcement agencies in many countries have initiated the use of AFRS (Automated Facial
Recognition System),it’s an artificial intelligence system that compares face traits automatically,
to identify unknown suspects using images and other social media platforms. Its capabilities are
fast developing in conjunction with artificial intelligence, and it has a lot of potential for solving
crimes. However, it also has a negative connotation. There are substantial privacy and ethical
considerations that necessitate legislation and regulation. The Ministry of Home Affairs of India
has released a new plan for AFRS aimed at upgrading law-enforcement agencies for the purpose
of detection of criminals, proper data exchange among law enforcement agencies throughout the
globe. It is indeed evident to say, India is third largest country in technological development and
the citizens are coping up with these changes. The author proposes to examine the emergence of
Automated Facial Recognition System, contemporary uses, and legislative developments in
various countries like US, UK and Australia, as well as doing an ethical examination of the
concerns that may arise during its implementation. The author will also implicate the authenticity
of FIR registered against unknown person through the use of AFRS, and legislations related to it.
Ethical considerations are used to mediate conflicting issues with reference to modern innovation
vis-à-vis public safety mechanism, privacy and democratic responsibility.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.