我们对AI认识远远不足，所以透明度才至关重要｜腾研对话海外名家

Core Viewpoint - The article emphasizes the importance of AI transparency, arguing that understanding AI's operations is crucial for governance and trust in its applications [2][3][9]. Group 1: Importance of AI Transparency - The ability to "see" AI is essential in an era where AI influences social interactions, content creation, and consumer behavior, raising concerns about misinformation and identity fraud [7][8]. - AI Activity Labeling is becoming a global consensus, with regulatory bodies in China and the EU mandating clear identification of AI-generated content to help users discern authenticity and reduce deception risks [7][8]. - Transparency not only aids in identifying AI interactions but also provides critical data for assessing AI's societal impacts and risks, which are currently poorly understood [8][9]. Group 2: Mechanisms for AI Transparency - AI labeling is one of the fastest-advancing transparency mechanisms, with China implementing standards and the EU establishing identification obligations for AI system providers [12][14]. - Discussions are ongoing about what should be labeled, who embeds the labels, and how to verify them, highlighting the need for effective implementation standards [12][14][15]. - The distinction between labeling content and AI's autonomous actions is crucial, as current regulations primarily focus on content, leaving a gap regarding AI's behavioral transparency [13]. Group 3: Model Specifications - Model specifications serve as a self-regulatory mechanism for AI companies, outlining expected behaviors and ethical guidelines for their models [17][18]. - The challenge lies in ensuring compliance with these specifications, as companies can easily make promises that are difficult to verify without robust enforcement mechanisms [18][20]. - There is a need for a balance between transparency and protecting proprietary information, as not all operational details can be disclosed without risking competitive advantage [20]. Group 4: Governance and Trust - Transparency is vital for building trust in AI systems, allowing users to understand AI's capabilities and limitations, which is essential for responsible usage and innovation [9][23]. - The article argues that transparency mechanisms should not only focus on what AI can do but also on how it operates and interacts with humans, fostering a more informed public [10][23]. - Ultimately, achieving transparency in AI governance is seen as a foundational step towards establishing a reliable partnership between AI technologies and society [23].