Core Viewpoint - The rampant misuse of AI technology, particularly in deepfake applications, poses a significant threat to societal trust and individual rights, affecting not only public figures but the general population as well [2][3][4] Group 1: AI Misuse and Its Implications - AI deepfake technology has led to a crisis of trust, as the realism of AI-generated content makes it difficult for individuals to distinguish between real and fake [2] - The issue of AI misuse has expanded beyond celebrities, creating a risk network that affects everyone, with incidents such as AI-generated scams becoming more prevalent [2] - The low cost of creating deepfakes, combined with high legal costs for victims, exacerbates the problem of infringement and makes it challenging to seek justice [2] Group 2: Legal and Platform Responsibilities - Legal frameworks like the "Artificial Intelligence Generated Synthetic Content Identification Measures" and "Deep Synthesis Management Regulations" are in place but need stronger enforcement and clearer accountability measures [3] - Platforms must take on greater responsibility by implementing identification requirements for AI-generated content and establishing comprehensive control mechanisms to manage violations [3][4] - There is a need for increased investment in technology to develop anti-counterfeiting measures and multi-factor authentication systems to mitigate deepfake risks from the source [4] Group 3: Public Awareness and Education - The public should shift from passive defense to active discernment, enhancing awareness of personal information protection and learning basic identification skills to verify suspicious content [4] - The responsibility for the ethical use of AI lies with humanity, emphasizing the importance of legal boundaries, technological safeguards, and public education to prevent AI from devolving into a tool for deep forgery [4]

Group 1 - The core idea emphasizes the importance of building a trust system in modern finance, integrating moral self-discipline, technological support, and institutional guarantees [1][8] - The evolution of trust mechanisms from historical practices like "Shang Yang's standing wood" to modern digital contracts illustrates the enduring significance of trust in society [2][4] - Trust is described as the invisible adhesive of modern society, essential for various daily interactions, including financial transactions and public services [3][4] Group 2 - Traditional Chinese values regarding trust, such as "a promise is a promise," play a crucial role in shaping the modern trust system and ensuring safety in public services and financial transactions [4][5] - Issues in the trust system, such as fraud and deception, can severely damage societal trust, as evidenced by various scandals in the capital market and consumer goods [5][6] - The need for a three-dimensional protective system involving individuals, enterprises, and the state is highlighted to restore trust and ensure accountability [6][7] Group 3 - The current progress of China's social credit system is supported by regulatory bodies implementing measures to enhance investor protection and combat financial fraud [7][8] - The integration of technology, such as AI systems for fraud detection and blockchain for traceability, is essential for building a reliable trust framework in the financial sector [7][8] - Continuous efforts in cultural construction of integrity are necessary for societal advancement, ensuring that trust remains a fundamental aspect of modern civilization [8]