Towards trustworthy ai-enabled decision support systems: Validation of the multisource ai scorecard table (MAST)

被引：0
|
作者：
Salehi, Pouria [1 ]
Ba, Yang [1 ]
Kim, Nayoung [1 ]
Mosallanezhad, Ahmadreza [1 ]
Pan, Anna [1 ]
Cohen, Myke C. [1 ]
Wang, Yixuan [1 ]
Zhao, Jieqiong [1 ]
Bhatti, Shawaiz [1 ]
Sung, James [2 ]
Blasch, Erik [3 ]
Mancenido, Michelle V. [1 ]
Chiou, Erin K. [1 ]
机构：
[1] Arizona State University, United States
[2] DHS Office of Intelligence and Analysis, United States
[3] Air Force Office of Scientific Research, United States
来源：
Journal of Artificial Intelligence Research | 2024年 / 80卷
关键词：
This material is based on work supported by the U. S. Department of Homeland Security under Grant Award Number 17STQAC00001-05-00. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies; either expressed or implied; of the Department of Homeland Security. PS contributed the initial complete draft of the paper. PS; YB; MM contributed to data analysis. PS; NK; MC; SB contributed written sections and response to reviewers. PS; AP; AM; YW; JZ; and YB contributed to design and development of Facewise and READIT. PS; and MC contributed other study materials. PS; AM contributed to data collection. MM; !text type='JS']JS[!/text; EB contributed to study conception; design; interpretation; and participant recruitment. EC contributed to all aspects of the study. All authors reviewed and approved the final version of this paper;
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页码：1311 / 1341
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