There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems. The current debate on the responsibility gap posed by these systems is one such example. This work proposes a mixed AI ethics model that allows normative and descriptive research to complement each other, by aiding scholarly discussion with data gathered from the public. We discuss its implications on bridging the gap between optimistic and pessimistic views towards AI systems' deployment.
翻译:目前关于这些制度所造成责任差距的辩论就是这样一个例子。 这项工作提出了一种混合的大赦国际道德模式,通过协助学术讨论从公众收集到的数据,使规范性和描述性研究能够相互补充。我们讨论了它对于缩小乐观和悲观观点之间对大赦国际制度部署的差距的影响。