Why We Should Have Seen That Coming

M.J. Wolf, K.W. Miller, F.S. Grodzinsky
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引用次数: 49

Abstract

In this paper we examine the case of Tay, the Microsoft AI chatbot that was launched in March, 2016. After less than 24 hours, Microsoft shut down the experiment because the chatbot was generating tweets that were judged to be inappropriate since they included racist, sexist, and anti-Semitic language. We contend that the case of Tay illustrates a problem with the very nature of learning software (LS is a term that describes any software that changes its program in response to its interactions) that interacts directly with the public, and the developer’s role and responsibility associated with it. We make the case that when LS interacts directly with people or indirectly via social media, the developer has additional ethical responsibilities beyond those of standard software. There is an additional burden of care.

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为什么我们应该预见到这一点
在本文中,我们研究了Tay的案例,Tay是微软于2016年3月推出的人工智能聊天机器人。不到24小时后,微软关闭了这个实验,因为聊天机器人生成的推文被认为是不合适的,因为它们包含种族主义、性别歧视和反犹太主义的语言。我们认为,Tay的案例说明了与直接与公众交互的学习软件(LS是一个术语,描述了任何改变其程序以响应其交互的软件)的本质有关的问题,以及与之相关的开发人员的角色和责任。我们认为,当LS直接与人互动或通过社交媒体间接互动时,开发人员比标准软件负有额外的道德责任。还有一个额外的照顾负担。
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