Weizenbaum Institute:数据工作的伦理-学术数据工作请求者的原则(英文版)
Weizenbaum Institute:数据工作的伦理-学术数据工作请求者的原则(英文版).pdf |
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The growing use of machine learning (ML) in academic research has led to a rising demand for large, labeled datasets. While the field initially relied on the labor of students and research assistants to label data, as models grew larger and more complex, there was a shift towards relying on large-scale, low-cost platforms like Amazon Mechanical Turk (MTurk) to label data at scale. However, this shift comes with serious ethical concerns. Now part of a massive industry, many data work companies
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