人工智能产业中数据标注众包劳动的法律检视——基于国内典型平台的分析

Legal Review of Crowdsourcing Labor for Data Annotation in Artificial Intelligence Industry—Analysis Based on Typical Domestic Platforms

随着人工智能产业的高速发展,数据标注众包劳动成为平台零工经济下新的密集型就业途径,但这一业态也成为法律规制的薄弱地带。立足于国家人工智能发展战略,通过对典型数据标注平台的追踪调研,总结其众包劳动的运行模式并进行实效评估,在检视问题与完善策略的基础上,提出细化的体系架构,形成工作派单、风险评估和劳动奖励的内部循环系统,并通过保护、促进和规划的方式形成外部运行机制,最终促进人工智能产业健康发展。

With the rapid development of the artificial intelligence industry, data annotation crowdsourcing labor has become a new intensive employment path in the platform gig economy, but this industry has also become a weak area of legal regulation. Based on the national artificial intelligence development strategy, through tracking and researching typical data annotation platforms, summarizing their crowdsourcing labor operation modes and conducting effectiveness evaluations, on the basis of examining problems and improving strategies, proposing a refined system architecture, forming an internal circulation system for work dispatching, risk assessment, and labor rewards, and forming an external operating mechanism through protection, promotion, and planning, ultimately promoting the healthy development of the artificial intelligence industry.