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
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
相关论文
共 50 条
  • [31] Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
    Ahmad, Khlood
    Abdelrazek, Mohamed
    Arora, Chetan
    Bano, Muneera
    Grundy, John
    APPLIED SOFT COMPUTING, 2023, 143
  • [32] Contextualizing User Perceptions about Biases for Human-Centered Explainable Artificial Intelligence
    Yuan, Chien Wen
    Bi, Nanyi
    Lin, Ya-Fang
    Tseng, Yuen-Hsien
    PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023, 2023,
  • [33] Occupational therapy in the space of artificial intelligence: Ethical considerations and human-centered efforts
    Kaelin, Vera C.
    Nilsson, Ingeborg
    Lindgren, Helena
    SCANDINAVIAN JOURNAL OF OCCUPATIONAL THERAPY, 2024, 31 (01)
  • [34] Looking at human-centered artificial intelligence as a problem and prospect for sociology: An analytic review
    Rezaev, Andrey, V
    Tregubova, Natalia D.
    CURRENT SOCIOLOGY, 2025, 73 (01) : 120 - 138
  • [35] Human-centered Artificial Intelligence: A Multidimensional Approach towards Real World Evidence
    Schneider, Bettina
    Asprion, Petra Maria
    Grimberg, Frank
    PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1, 2019, : 381 - 390
  • [36] Editorial: Special Section on Human-Centered Artificial Intelligence with Big Data Applications
    Mohanasundaram, Ranganathan
    JOURNAL OF TESTING AND EVALUATION, 2021, 49 (04) : 2197 - 2198
  • [37] ADVANCING EQUITY IN PEDIATRIC MENTAL HEALTH WITH ARTIFICIAL INTELLIGENCE AND HUMAN-CENTERED DESIGN
    Bazzano, Alessandra N.
    JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2024, 63 (10): : S65 - S65
  • [38] A Learning Analytics Framework Based on Human-Centered Artificial Intelligence for Identifying the Optimal Learning Strategy to Intervene in Learning Behavior
    Zhao, Fuzheng
    Liu, Gi-Zen
    Zhou, Juan
    Yin, Chengjiu
    EDUCATIONAL TECHNOLOGY & SOCIETY, 2023, 26 (01): : 132 - 146
  • [39] Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence
    Herrmann, Thomas
    Pfeiffer, Sabine
    AI & SOCIETY, 2023, 38 (04) : 1523 - 1542
  • [40] Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
    Sovrano, Francesco
    Vitali, Fabio
    DATA MINING AND KNOWLEDGE DISCOVERY, 2024, 38 (05) : 3141 - 3168