Human-Centered Artificial Intelligence: Beyond a Two-Dimensional Framework

被引:2
作者
Pacailler, Matthew [1 ]
Yahoodik, Sarah [1 ]
Sato, Tetsuya [1 ]
Ammons, Jeremiah G. [1 ]
Still, Jeremiah [1 ]
机构
[1] Old Dominion Univ, Norfolk, VA 23508 USA
来源
HCI INTERNATIONAL 2022 - LATE BREAKING PAPERS: INTERACTING WITH EXTENDED REALITY AND ARTIFICIAL INTELLIGENCE | 2022年 / 13518卷
关键词
HCAI; Artificial Intelligence; Automation; AUTOMATION; TRUST; ALLOCATION; ATTENTION;
D O I
10.1007/978-3-031-21707-4_33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Shneiderman's Human-Centered Artificial Intelligence (HCAI) framework suggests that high human control of automation is necessary to create reliable, safe, and trustworthy systems. The HCAI framework demonstrates that there is no need to sacrifice human control when incorporating higher levels of automation. We propose that Shneiderman's two-dimensional framework is static and unable to incorporate contextual factors such as the decision for a human-in-the-loop system, cognitive limitations of the user, and user characteristics. The HCAI framework, while an essential foundation, ought to reflect the flexibility of AI systems, while meeting individual differences and situational requirements.
引用
收藏
页码:471 / 482
页数:12
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