‘If You’re Going to Trust the Machine, Then That Trust Has Got to Be Based on Something’:
‘If You’re Going to Trust the Machine, Then That Trust Has Got to Be Based on Something’:
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“如果你要信任机器，那么这种信任就必须基于某些东西”：
DOI：
10.23987/sts.102198
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
A. Carusi
中科院分区：
文献类型：
--
作者：
Peter Winter;A. Carusi
人工智能（AI）在临床决策中的作用引发了信任问题。一个问题涉及信任AI的条件，AI往往基于验证。然而，很少有人关注验证是如何形成的，比较是如何被接受的，以及人工智能算法在决策中是如何被信任的。根据对开发三种人工智能技术用于肺动脉高压（PH）早期诊断的合作研究人员的采访，我们展示了如何联合产生人工智能的验证，以便通过在交互期间协商标准和比较条款来建立对算法的信任。这些过程建立了可解释性和询问性，并共同构成了对技术的信任。当他们这样做时，很难维持人工智能和人类/社会智能之间的严格区分。
The role of Artificial Intelligence (AI) in clinical decision-making raises issues of trust. One issue concerns the conditions of trusting the AI which tends to be based on validation. However, little attention has been given to how validation is formed, how comparisons come to be accepted, and how AI algorithms are trusted in decision-making. Drawing on interviews with collaborative researchers developing three AI technologies for the early diagnosis of pulmonary hypertension (PH), we show how validation of the AI is jointly produced so that trust in the algorithm is built up through the negotiation of criteria and terms of comparison during interactions. These processes build up interpretability and interrogation, and co-constitute trust in the technology. As they do so, it becomes difficult to sustain a strict distinction between artificial and human/social intelligence.
对技术设计的原因和含义空间的隐含信任：对 Justine Pila 的回应
影响因子：
1.7
作者：
Carusi A
通讯作者：
Carusi A