平台企业以AI技术探索服务新就业形态劳动者新路径

Core Insights - The article highlights the implementation of AI safety control and responsibility judgment algorithms by Huo La La, aiming to address safety and fairness concerns of truck drivers while enhancing operational efficiency in the logistics industry [1][2]. Group 1: AI Technology Application - Huo La La is shifting AI technology from a "back-end" role to a "front-end" application, focusing on serving new employment forms and addressing the needs of truck drivers [1]. - AI is identified as a key link for balancing safety, efficiency, and fairness in platform-based enterprises like Huo La La, which connects millions of users and drivers [1]. Group 2: Safety and Responsibility Concerns - Safety and responsibility determination are the two primary concerns for truck drivers, with 44.34% of drivers desiring more humane fatigue driving management and 28.13% facing disputes due to overload requirements [2]. - Huo La La's AI safety control system intervenes throughout the entire process, automatically detecting high-risk scenarios and implementing measures to prevent unsafe practices, resulting in a 30% reduction in daily risk incidents related to dangerous goods transportation and violations [2]. Group 3: Fairness in Responsibility Judgment - The AI responsibility judgment system automates the collection of order information and driving trajectories to quickly determine responsibility for order cancellations, leading to a nearly 30% decrease in driver appeal rates [3]. - Huo La La emphasizes the importance of driver feedback in the iterative process of AI algorithm development, transitioning drivers from passive recipients to active participants in technology application [3]. Group 4: Industry Implications - The integration of technology innovation with laborer needs is seen as essential for ensuring that AI contributes positively to the logistics industry, promoting safety and fairness [3].