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Cybertrust: From Explainable to Actionable and Interpretable Artificial Intelligence
Computer ( IF 2.2 ) Pub Date : 2020-09-01 , DOI: 10.1109/mc.2020.2993623
Igor Linkov 1 , Stephanie Galaitsi 1 , Benjamin D. Trump 1 , Jeffrey M. Keisler 2 , Alexander Kott 3
Affiliation  

We argue that artificial intelligence (AI) systems should be designed with features that build trust by bringing decision-analytic perspectives into AI. Actionable and interpretable AI will incorporate explicit quantifications and visualizations of user confidence in AI recommendations.

中文翻译:

网络信任:从可解释到可操作和可解释的人工智能

我们认为,人工智能 (AI) 系统的设计应具有通过将决策分析观点引入 AI 来建立信任的功能。可操作和可解释的 AI 将在 AI 推荐中纳入用户信心的明确量化和可视化。
更新日期:2020-09-01
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