“冷酷的技术决策者”：AI能提供解释性、协商性和人性化吗？
"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?
摘要：
在人们生活的许多领域中，越来越多地部署计算机系统来做出决策。从人类决策到算法决策的转变伴随着对不符合社会价值观的潜在不透明决策的担忧，以及提出的补救措施，如可解释性。我们提出了算法决策的定性研究的结果，包括五个研讨会进行了总共有60名参与者在芬兰，德国，英国和美国。我们邀请参与者对决策质量进行推理，例如在各个领域的可解释性和准确性。参与者将人工智能视为一个决策者，它遵循严格的标准，能够很好地执行机械任务，但在很大程度上无法做出主观或道德上复杂的判断。我们讨论了参与者在决策中对人性的考虑，并引入了“可谈判性”的概念，即超越正式标准并围绕系统灵活工作的能力。
英文摘要：
Algorithmic systems are increasingly deployed to make decisions in many areas of people's lives. The shift from human to algorithmic decision-making has been accompanied by concern about potentially opaque decisions that are not aligned with social values, as well as proposed remedies such as explainability. We present results of a qualitative study of algorithmic decision-making, comprised of five workshops conducted with a total of 60 participants in Finland, Germany, the United Kingdom, and the United States. We invited participants to reason about decision-making qualities such as explainability and accuracy in a variety of domains. Participants viewed AI as a decision-maker that follows rigid criteria and performs mechanical tasks well, but is largely incapable of subjective or morally complex judgments. We discuss participants' consideration of humanity in decision-making, and introduce the concept of 'negotiability,' the ability to go beyond formal criteria and work flexibly around the system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
