瞭望 | 以伦理治理建人机共生秩序

Core Viewpoint - The article emphasizes the need for a systematic and forward-looking ethical governance framework to guide the development of embodied intelligence, particularly in sensitive areas such as health, property, and ethics, to enhance social trust and technology acceptance [1][5]. Group 1: Ethical Concerns of Embodied Intelligence - The shift from "human-dominated" to "human-machine co-creation" necessitates adjustments in governance to address challenges such as blurred responsibility boundaries, privacy erosion from sensitive data, and labor market impacts due to job displacement [2][4]. - The "black box" nature of large models complicates the predictability and explanation of decision-making processes, creating a need for optimized responsibility recognition mechanisms in scenarios like autonomous driving and medical robotics [2][4]. - Current privacy protection laws are limited in their ability to regulate new data collection methods used by embodied intelligence, necessitating a balance between data utilization and privacy protection [4][8]. Group 2: Governance Framework Proposals - A tiered authorization governance model is suggested to manage the decentralized decision-making power of embodied intelligence systems, ensuring human oversight in high-risk scenarios [6][7]. - Social experiments are proposed as a method to explore effective governance models, particularly in addressing employment displacement through human-machine collaboration certification systems [7]. - The article advocates for China's active participation in international standard-setting for embodied intelligence governance, promoting principles such as fairness, transparency, and accountability [8].