Core Viewpoint - The article highlights the increasing sophistication of AI face-swapping technology, which has been used to bypass facial recognition systems, leading to fraudulent activities and security concerns in various sectors, particularly finance and social media [1][3][16]. Group 1: Fraud Cases and Security Breaches - A recent fraud case in Nanjing involved a suspect collecting over 1.95 million personal data entries and successfully bypassing a facial recognition system to steal 15,000 yuan [1][3]. - Multiple social media influencers reported their accounts being hacked, with changes made to company legal representatives, indicating a broader trend of identity theft and fraud facilitated by AI technology [5][8]. Group 2: Limitations of Facial Recognition Technology - The article discusses the vulnerabilities of facial recognition systems, particularly 2D technology, which can be easily deceived by high-resolution images or videos [10][12]. - Even advanced 3D facial recognition systems are not foolproof, as AI-generated faces can still bypass security measures, raising concerns about the reliability of these technologies [14][18]. Group 3: Industry Response and Developments - The industry is aware of the challenges posed by AI face-swapping and is developing countermeasures, such as cross-validation techniques and advanced detection systems to mitigate risks [27]. - Recent government actions aim to regulate the misuse of facial recognition technology, indicating a growing recognition of the need for stricter controls in this area [25][27].