Core Viewpoint - The recent move by Huolala to disclose its AI safety and accountability algorithms represents a significant step towards transparency in the platform economy, addressing the long-standing "algorithm dilemma" faced by new employment form workers, particularly truck drivers [1][4]. Group 1: AI and Employment - The digital economy now accounts for over 40% of GDP, with more than 80 million new employment form workers, making the use of AI a matter of "who it serves" rather than "whether to use it" [4]. - For platforms, AI serves as a tool for efficiency and risk management, while for drivers, it should act as a partner for safety and fairness [4][5]. Group 2: Safety and Accountability - Safety and accountability are critical areas for AI optimization, as fatigue driving and hazardous material transport pose significant risks for truck drivers [5]. - A survey by the China Logistics and Purchasing Federation revealed that 44.34% of drivers desire more humane fatigue driving management, and 28.13% often face demands for overloading [5]. Group 3: Huolala's AI Practices - Huolala's AI practices address these pain points by implementing fatigue reminders after four hours of continuous driving and alerting drivers about hazardous materials in real-time [5][7]. - The platform has shifted from a one-sided algorithm notification system to a collaborative approach, involving drivers in the development of AI accountability measures [7]. Group 4: Technological Evolution - The transformation from a "control logic" to a "coexistence logic" in platform economics is crucial for maturity, as it integrates drivers' voices into the technological framework [7][9]. - The goal is to turn drivers' needs for safety and fair accountability into identifiable features within AI systems and collaborative mechanisms [9][10].

Core Insights - The article discusses the implementation of an AI safety monitoring and liability algorithm by Huolala, aimed at enhancing safety for freight drivers and improving liability experiences [1][9]. Group 1: AI Safety Monitoring - Huolala's AI safety monitoring system has been developed over four years and can detect hazardous goods transport, illegal passenger transport, fatigue driving, and overloading in real-time [1][4]. - The AI system can intervene by canceling orders or sending alerts to drivers when violations are detected [2][4]. - After the full application of AI, the daily risk orders related to hazardous goods transport and illegal passenger transport have decreased by 30% [4][7]. Group 2: Liability Assessment - The AI liability assessment algorithm collects various data post-order cancellation to determine responsibility, automatically ruling drivers as not at fault for canceled orders due to violations [1][9]. - The time taken for liability assessment has been reduced from 72 hours to 48 hours, and the appeal rate from drivers has decreased by nearly 30% [9][11]. - The algorithm ensures a fair and efficient process by combining machine analysis with human oversight for complex cases [11]. Group 3: Driver Safety Education - Huolala has provided 43 safety courses over the past year, with over 17 million participants, achieving a course satisfaction rate of 95% [8]. - The company has invested 1.75 billion yuan in occupational injury insurance for new employment forms, covering 8.9 billion orders and assisting over 1,200 drivers with claims [8]. Group 4: Future Developments - The company aims to continue optimizing its algorithms based on driver feedback, striving for a safer and fairer working environment for freight workers [11].

Core Viewpoint - The company has enhanced its AI safety monitoring and liability assessment algorithms to improve safety for freight drivers and streamline the liability experience, following the cancellation of the liability principle in September [1][4]. Group 1: AI Safety Monitoring - The AI safety monitoring system, developed over four years, can detect hazardous situations in real-time, such as dangerous goods transport, illegal passenger transport, fatigue driving, and overloading [1][3]. - After the full application of AI, the daily risk incidents related to hazardous goods transport and illegal passenger transport have decreased by 30%, with over a thousand orders being forcibly canceled daily due to violations [3][4]. Group 2: Liability Assessment - The AI liability assessment algorithm automatically collects various data post-order cancellation, analyzing it against platform rules to preliminarily determine liability, with a focus on ensuring drivers are not held responsible for canceled orders due to violations [1][4]. - The time taken for human-machine combined liability assessment has been reduced from 72 hours to 48 hours, and the appeal rate from drivers has decreased by nearly 30% since the implementation of AI [4][6]. Group 3: Driver Safety and Education - The platform has pushed out 43 safety courses over the past year, with over 17 million completions, and has invested 1.75 billion yuan in providing insurance for drivers, covering 890 million orders [3][4]. - The AI system sends fatigue driving alerts to drivers after four hours of continuous driving, promoting safer driving practices [3][6]. Group 4: Future Developments - The company plans to continue optimizing its algorithms and listening to driver feedback to create a safer and fairer working environment for freight workers [6].