论文标题
对AI的信任的许多方面：正式化信任与公平，问责制和透明之间的关系
The Many Facets of Trust in AI: Formalizing the Relation Between Trust and Fairness, Accountability, and Transparency
论文作者
论文摘要
假定促进公平，问责制和透明度的努力对于促进对AI（TAI）的信任至关重要，但是现存的文献对这种“信任”令人沮丧。缺乏信任本身的解释表明，通常理解，简单甚至无趣。但是是吗？我们对TAI出版物的分析揭示了许多方向，这些取向在谁做信任（代理），什么（对象），基于什么（基础），以什么（客观）以及原因（影响）（影响）（影响）方面有所不同。我们开发了一个本体，将这些关键的差异封装到a）a）在文献中阐明似乎不一致的情况，b）更有效地管理着令人眼花tai乱的大量注意事项。然后，我们通过探索公平性，问责制和透明度的出版物来反映这一本体，以研究TAI在这些促进信任的方法之间以及在这些方法之间考虑的多种方式。
Efforts to promote fairness, accountability, and transparency are assumed to be critical in fostering Trust in AI (TAI), but extant literature is frustratingly vague regarding this 'trust'. The lack of exposition on trust itself suggests that trust is commonly understood, uncomplicated, or even uninteresting. But is it? Our analysis of TAI publications reveals numerous orientations which differ in terms of who is doing the trusting (agent), in what (object), on the basis of what (basis), in order to what (objective), and why (impact). We develop an ontology that encapsulates these key axes of difference to a) illuminate seeming inconsistencies across the literature and b) more effectively manage a dizzying number of TAI considerations. We then reflect this ontology through a corpus of publications exploring fairness, accountability, and transparency to examine the variety of ways that TAI is considered within and between these approaches to promoting trust.
