AI大模型加速智能化落地，2025泰达论坛共话数智化新未来

Core Viewpoint - The automotive industry is transitioning towards becoming "intelligent entities with warmth," emphasizing the integration of AI technology to enhance user experience and operational efficiency [3][4]. Group 1: AI Application in Automotive Industry - The discussion at the forum highlighted the importance of AI in transforming vehicles into intelligent companions rather than just functional tools [3]. - Dongfeng Motor Corporation has implemented a comprehensive AI strategy, focusing on user scenarios, foundational models, and data-driven approaches to create intelligent automotive experiences [3]. - The company has developed a multimodal large model to capture driver physiological and emotional states, adjusting the in-car environment accordingly [3]. Group 2: Automation in Manufacturing - China has become the largest industrial robot market globally, with the automotive sector being a key area for automation [6]. - The automation rates in stamping, welding, and painting processes exceed 90%, with advancements in humanoid robots changing the landscape of manufacturing [6]. - AI and 3D vision technologies are being integrated into manufacturing processes for quality control and precision tasks [6]. Group 3: Risks and Governance in AI - The application of AI in the automotive sector raises significant safety risks, necessitating a robust governance framework [7][8]. - The risks are categorized into inherent system risks and application-derived risks, including algorithm transparency and data security [7]. - China is enhancing its policy framework for intelligent connected vehicles, focusing on safety management and technical guidelines [8]. Group 4: Future Directions and Consensus - The forum reached a consensus on the need for data-driven collaboration across the automotive value chain to enhance safety and efficiency [10]. - There is a push for deeper integration of AI into core industry processes, moving from isolated applications to systemic integration [10]. - The establishment of a secure and compliant data infrastructure is essential for fostering a collaborative ecosystem in the automotive industry [10].