The recording, aggregation, and exchange of personal data is necessary to the development of socially-relevant machine learning applications. However, anecdotal and survey evidence show that ordinary people feel discontent and even anger regarding data collection practices that are currently typical and legal. This suggests that personal data markets in their current form do not adhere to the norms applied by ordinary people. The present study experimentally probes whether market transactions in a typical online scenario are accepted when evaluated by lay people. The results show that a high percentage of study participants refused to participate in a data pricing exercise, even in a commercial context where market rules would typically be expected to apply. For those participants who did price the data, the median price was an order of magnitude higher than the market price. These results call into question the notice and consent market paradigm that is used by technology firms and government regulators when evaluating data flows. The results also point to a conceptual mismatch between cultural and legal expectations regarding the use of personal data.
翻译:记录、汇总和交换个人数据对于开发与社会有关的机器学习应用程序是必要的,然而,传闻和调查证据表明,普通人对目前典型和法律的数据收集做法感到不满,甚至愤怒,这表明目前个人数据市场的形式不符合普通人所适用的规范;本研究报告试验性地调查在非普通人评价典型在线情况下的市场交易是否被接受;研究结果表明,很高比例的学习参与者拒绝参与数据定价工作,即使在通常会适用市场规则的商业环境中也是如此;对于计算数据的参与者来说,中位价格是比市场价格高的幅度级;这些结果令人质疑技术公司和政府监管机构在评价数据流动时使用的通知和同意市场模式;研究结果还表明,在使用个人数据方面,文化和法律期望在概念上不相匹配。