机器驾驶存在安全挑战！苗圩发声

Group 1 - The core viewpoint of the article emphasizes the safety challenges associated with machine driving compared to human driving, as highlighted by Miao Wei, a former Minister of Industry and Information Technology [2] - The 2025 World Intelligent Connected Vehicle Conference will focus on various aspects of the intelligent connected vehicle industry, including policies, technology, safety, artificial intelligence, applications, and data [2] - Miao Wei pointed out three main safety challenges for machine driving: insufficient capability to handle "long-tail scenarios," inherent limitations in perception and cognition, and the uncontrollable risks posed by the "black box effect" in decision-making processes [2] Group 2 - Morgan Stanley's recent research indicates that the true innovation opportunities in the automotive industry lie in breakthroughs within the AI ecosystem, introducing the "3A" opportunities: Autonomous Driving, AI Embodiment, and AI Data Centers [3] - If traditional vehicle sales companies can achieve substantial breakthroughs in the "3A" areas, they could potentially unlock an additional market value space of $2-3 trillion [3] - CITIC Securities previously projected that Level 3 (L3) autonomous driving will become the main upgrade direction for intelligent driving from Q4 2025 to 2026 [3] Group 3 - A table outlines various automotive brands and their representative models along with their levels of intelligent assisted driving, indicating that Tesla and BYD have models classified as Level 4 (L4), while several others, including Geely and Changan, have models classified as Level 3 (L3) [4] - The SAE classification system for autonomous driving technology ranges from Level 0 (no automation) to Level 5 (full automation), detailing the responsibilities of human drivers at each level [4]