色情视频被恶意“炮制” 几元就能买到预训练模型警惕AI换脸技术滥用滋生黑灰产

Core Viewpoint - The rise of virtual synthesis technology, particularly AI face-swapping and deepfake, has led to the creation of unethical pornographic videos, posing serious threats to personal safety and societal morals, necessitating stronger governance [1]. Group 1: Incidents and Impact - A case study of a female streamer, Xiao Yu, illustrates the dangers of AI face-swapping, where her face was maliciously placed on pornographic videos, leading to public backlash and personal distress [2]. - Xiao Yu's experience is not isolated; many women have been victimized by similar practices, with illegal groups offering services to create such videos for profit [3]. Group 2: Technology and Accessibility - Deepfake technology involves using AI to generate false content by combining personal attributes like voice and facial expressions, with AI face-swapping being the most common application [4]. - The process of creating high-quality deepfake videos requires minimal resources, including just a few photos of the victim and access to pre-trained models, which are readily available on various online platforms [5][7]. - The ease of access to pre-trained models for deepfake creation highlights significant vulnerabilities in the current online environment [8]. Group 3: Law Enforcement Challenges - Law enforcement faces unprecedented challenges in combating AI-generated content, particularly due to the anonymity and technical sophistication of offenders, making evidence collection difficult [9]. - Traditional methods of evidence gathering are ineffective against AI crimes, necessitating new strategies and collaboration with international law enforcement [10].