Core Viewpoint - The article discusses the challenges and implications of facial recognition technology in the AI era, particularly in relation to security vulnerabilities and the potential for identity theft due to advancements in AI-generated content [1][12]. Group 1: Facial Recognition Technology - Facial recognition is highlighted as a significant achievement in the AI era, but it faces challenges due to the inherent variability in human facial features over time [3][4]. - The technology must balance two opposing needs: increasing tolerance for variability to avoid missed identifications and tightening standards to prevent false identifications [3][9]. - The focus on improving recognition rates may lead to a compromise in security, as systems might prioritize performance metrics over accuracy [9][10]. Group 2: Security Concerns - There is a growing concern that facial recognition systems can be easily compromised, leading to unauthorized access and identity theft [12][14]. - The article suggests that internet platforms should implement stricter security measures and manual reviews when changing administrative permissions for popular accounts [12][13]. - AI companies are warned about the ongoing arms race between security measures and the capabilities of AI-generated content, which could exacerbate existing vulnerabilities [14].