Core Viewpoint - The proliferation of AI-generated "digital humans" has led to confusion among users, making it difficult to distinguish between real and AI-generated content, raising concerns about potential legal and ethical issues [1][2][7] Group 1: User Confusion and Experience - A significant portion of users, approximately 70%, have encountered AI-generated videos and struggle to identify their authenticity due to a lack of effective indicators [1][5] - Users often rely on small, inconspicuous disclaimers to determine if a digital human is real or AI-generated, which can be easily overlooked [3][4] - The advancement of AI technology has made it increasingly challenging for even tech-savvy individuals to differentiate between real images and those generated by AI [4][6] Group 2: Legal and Ethical Concerns - The misuse of AI-generated digital humans has led to instances of fraud, including scams targeting vulnerable populations such as the elderly [7][8] - Regulatory frameworks like the "Interim Measures for the Management of Generative Artificial Intelligence Services" have been introduced to address the identification and data sourcing of AI-generated content [7][8] - Despite existing regulations, challenges remain in enforcement due to limited regulatory capabilities and the potential profit motives of platforms that may overlook compliance [8][9] Group 3: Recommendations for Improvement - Experts suggest that clearer labeling requirements and stricter penalties for non-compliance are necessary to ensure transparency and compliance in the use of AI-generated content [9] - The implementation of more detailed technical standards for labeling, such as minimum font size and contrast, is recommended to enhance visibility and user awareness [9] - Strengthening the responsibilities of online platforms in monitoring and labeling AI-generated content is crucial for protecting users and maintaining trust [9]
真人“数字人”傻傻分不清