ABSTRACT

The emergence of big data combined with the technical developments in Artificial Intelligence has enabled novel opportunities for autonomous and continuous decision support. While initial work has begun to explore how human morality can inform the decision making of future Artificial Intelligence applications, these approaches typically consider human morals as static and immutable. In this work, we present an initial exploration of the effect of context on human morality from a Utilitarian perspective. Through an online narrative transportation study, in which participants are primed with either a positive story, a negative story or a control condition (N = 82), we collect participants' perceptions on technology that has to deal with moral judgment in changing contexts. Based on an in-depth qualitative analysis of participant responses, we contrast participant perceptions to related work on Fairness, Accountability and Transparency. Our work highlights the importance of contextual morality for Artificial Intelligence and identifies opportunities for future work through a FACT-based (Fairness, Accountability, Context and Transparency) perspective.

摘要

大数据的出现与人工智能技术的发展相结合，为自主和持续的决策支持提供了新的机会。虽然最初的工作已经开始探索人类道德如何为未来人工智能应用的决策提供信息，但这些方法通常认为人类道德是静态的和不可变的。在这项工作中，我们从功利主义的角度初步探索了环境对人类道德的影响。通过在线叙事交通研究，参与者被积极故事、消极故事或控制条件（N = 82），我们收集参与者对在不断变化的环境中必须处理道德判断的技术的看法。基于对参与者反应的深入定性分析，我们将参与者的看法与公平、问责和透明度方面的相关工作进行了对比。我们的工作强调了情境道德对人工智能的重要性，并通过基于 FACT（公平、责任、情境和透明度）的视角确定了未来工作的机会。