揭示拉美加勒比地区众包工人的真实劳动状态与心理诉求
Data Enrichment Work and AI Labor in Latin America and the Caribbean
- 调研16国100名众包工作者，发现其视数字劳动为尊严事业
- 多数人将工作视为独立跳板，但普遍感到与同行孤立
- 拒绝性别标签工具，强调劳动应去性别化
全球人工智能发展依赖来自多元语言与文化背景的众包工作者，他们在数据标注中扮演关键角色。然而，现有研究主要集中于美国与印度的众包者，忽视了拉美及加勒比地区群体。为此，我们对16个拉美和加勒比国家的100名众包工作者展开调查。结果发现，这些劳动者对自身数字劳动抱有自豪感与尊重，家庭支持度高；许多人视该工作为实现财务与职业独立的跳板。令人意外的是，尽管渴望更多联结，他们仍普遍感受到与同行的疏离，并对他人工作质量存疑。他们抵制基于性别的工具设计，强调劳动应保持性别中立。本研究深化了人机交互领域对拉美及加勒比众包劳动的理解，为区域数字抵抗工具的设计提供洞见。
原文摘要 · Abstract (English)
The global AI surge demands crowdworkers from diverse languages and cultures. They are pivotal in labeling data for enabling global AI systems. Despite global significance, research has primarily focused on understanding the perspectives and experiences of US and India crowdworkers, leaving a notable gap. To bridge this, we conducted a survey with 100 crowdworkers across 16 Latin American and Caribbean countries. We discovered that these workers exhibited pride and respect for their digital labor, with strong support and admiration from their families. Notably, crowd work was also seen as a stepping stone to financial and professional independence. Surprisingly, despite wanting more connection, these workers also felt isolated from peers and doubtful of others' labor quality. They resisted collaboration and gender-based tools, valuing gender-neutrality. Our work advances HCI understanding of Latin American and Caribbean crowdwork, offering insights for digital resistance tools for the region.
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