平台经济应为AI注入“良善”之魂

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].