论文标题
自下而上的最终用户智能助理方法，以使演出工人免受AI不平等的能力
A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality
论文作者
论文摘要
工人和平台之间的演出工作不平等现象已成为一个关键的社会问题，因为演出工作在工作的未来中起着越来越重要的作用。 AI不平等是由（1）技术划分的技术划分，谁可以在演出工作中使用AI技术； （2）数据划分的数据鸿沟是谁在演出工作中拥有的数据会导致不公平的工作条件，增加薪酬差距，忽视工人的各种偏好以及工人对平台缺乏信任。在该职位论文中，我们认为，通过最终用户 - 可编程的智能助理网络在当前私人拥有平台的范围下，通过最终用户 - 可编程的智能助手网络访问一组工人之间的自下而上的方法，可以通过最终用户 - 可编程的智能助手在GIG工作中弥合AI不平等的实用方法。该立场论文阐明了一系列研究挑战，潜在的方法和社区参与机会，试图在跨学科的chiwork社区就此重要的研究主题开始对话。
The growing inequality in gig work between workers and platforms has become a critical social issue as gig work plays an increasingly prominent role in the future of work. The AI inequality is caused by (1) the technology divide in who has access to AI technologies in gig work; and (2) the data divide in who owns the data in gig work leads to unfair working conditions, growing pay gap, neglect of workers' diverse preferences, and workers' lack of trust in the platforms. In this position paper, we argue that a bottom-up approach that empowers individual workers to access AI-enabled work planning support and share data among a group of workers through a network of end-user-programmable intelligent assistants is a practical way to bridge AI inequality in gig work under the current paradigm of privately owned platforms. This position paper articulates a set of research challenges, potential approaches, and community engagement opportunities, seeking to start a dialogue on this important research topic in the interdisciplinary CHIWORK community.
