Biometric Security Systems Enhanced by AI: Exploring Concerns with AI Advancements in Facial Recognition and Other Biometric Systems have Security Implications and Vulnerabilities

Abstract

A new age of accuracy and efficiency, especially in face recognition and other biometric technologies, has been brought about in recent years by the integration of artificial intelligence (AI) into biometric security systems. The discussion extends to the security implications of AI-enhanced biometric systems, including their susceptibility to threats such as spoofing and adversarial attacks. We analyze the vulnerabilities these systems face and propose advanced algorithmic solutions to fortify them against such risks. Moreover, this paper addresses the ethical and privacy concerns surrounding the widespread use of biometric data, emphasizing the need for stringent data protection measures and regulatory compliance. Additionally, the research investigates AI's significant contributions to genetic engineering, particularly through advancements in CRISPR [1] technology. By integrating AI, the precision of gene editing can be significantly improved, potentially revolutionizing personalized medicine and genetic therapies. This extensive research intends to shed light on the revolutionary potential of artificial intelligence (AI) in genetic engineering and biometric security, emphasizing both the exciting developments and the difficult obstacles still to be overcome. Through this research, readers will get a clearer knowledge of how artificial intelligence (AI) is altering biotechnology and security, opening the door for discoveries that might have a significant influence on healthcare and other fields.