摘要
我国新型工业化已步入新的历史阶段,正通往人工智能发挥引擎作用的高质量发展轨道.数据作为驱动人工智能发展的关键要素之一,已快速融入生产、分配、流通、消费和社会服务管理等环节,成为实现智能化、自动化和优化工业流程的基石.从系统化的研究视角,分析了当前工业领域人工智能数据"不够用""不敢用""不好用""不想用"的传统与新兴风险叠加困局,指明了治理因应的基本逻辑是兼顾发展与治理,揭示了从法治之"道"与自律之"术"两方面推进的治理因应策略.
Abstract
China's new industrialization has entered a new historical stage and is heading towards the high-quality development when artificial intelligence serves as an engine.As one of the key elements driving the development of artificial intelligence,data are rapidly integrating into various aspects such as production,distribution,circulation,consumption,and social service management,becoming the cornerstone for achieving intelligence,automation,and optimizing industrial processes.This article analyzes the current dilemma of traditional and emerging risks of artificial intelligence data in the industrial field,such as"insufficient to use","afraid to use","difficult to use",and"unwilling to use"from a systematic research perspective.It points out that the basic logic of governance is to balance development and governance,and reveals governance strategies such as following the"guidance"of legal rules and adopting the"technique"of self-discipline.
国家科技期刊平台
NSTL
万方数据