Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design

被引：0
|
作者：
Mill, Eleanor [1 ]
Garn, Wolfgang [1 ]
Turner, Chris [1 ]
机构：
[1] Department of Business Analytics and Operations, Surrey Business School, Guildford, United Kingdom
来源：
Applied Artificial Intelligence | 2024年 / 38卷 / 01期
关键词：
All Open Access; Gold;
D O I：
10.1080/08839514.2024.2430867
中图分类号：
学科分类号：
摘要：
54
引用
收藏
相关论文
共 50 条
  • [21] A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
    Kim, Mi-Young
    Atakishiyev, Shahin
    Babiker, Housam Khalifa Bashier
    Farruque, Nawshad
    Goebel, Randy
    Zaiane, Osmar R.
    Motallebi, Mohammad-Hossein
    Rabelo, Juliano
    Syed, Talat
    Yao, Hengshuai
    Chun, Peter
    MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 2021, 3 (04): : 900 - 921
  • [22] VISION-BASED ROBOTICS - A CHALLENGE TO REAL-WORLD ARTIFICIAL-INTELLIGENCE
    INOUE, H
    ADVANCED ROBOTICS, 1995, 9 (04) : 351 - 366
  • [23] Design and implementation of emulators for a real-world automated manufacturing systems using scenario
    Huang, YS
    Chung, TH
    Wen, YL
    PROGRESS ON ADVANCED MANUFACTURE FOR MICRO/NANO TECHNOLOGY 2005, PT 1 AND 2, 2006, 505-507 : 1141 - 1146
  • [24] Defining Reasonably Foreseeable Parameter Ranges Using Real-World Traffic Data for Scenario-Based Safety Assessment of Automated Vehicles
    Nakamura, Hiroki
    Muslim, H.
    Kato, R.
    Prefontaine-Watanabe, Sandra
    Nakamura, H.
    Kaneko, H.
    Imanaga, H.
    Antona-Makoshi, J.
    Kitajima, S.
    Uchida, N.
    Kitahara, E.
    Ozawa, K.
    Taniguchi, S.
    IEEE ACCESS, 2022, 10 : 37743 - 37760
  • [25] Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data
    da Silva, Luan Oliveira
    da Silva, Maria Carolina Bueno
    Ribeiro, Guilherme Alberto Sousa
    de Camargo, Thiago Fellipe Ortiz
    dos Santos, Paulo Victor
    Mendes, Giovanna de Souza
    de Paiva, Joselisa Peres Queiroz
    Soares, Anderson da Silva
    Reis, Marcio Rodrigues da Cunha
    Loureiro, Rafael Maffei
    Calixto, Wesley Pacheco
    PLOS ONE, 2024, 19 (08):
  • [26] Real-World Adoption of Artificial Intelligence in Radiology: Opportunities and Barriers
    Forghani, Reza
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2024, 45 (09) : 1175 - 1176
  • [27] Real-world validation of artificial intelligence algorithms for ophthalmic imaging
    Domalpally, Amitha
    Channa, Roomasa
    LANCET DIGITAL HEALTH, 2021, 3 (08): : E463 - E464
  • [28] Artificial intelligence-driven real-world battery diagnostics
    Zhao, Jingyuan
    Qu, Xudong
    Wu, Yuyan
    Fowler, Michael
    Burke, Andrew F.
    ENERGY AND AI, 2024, 18
  • [29] Deployment of Artificial Intelligence in Real-World Practice: Opportunity and Challenge
    He, Mingguang
    Li, Zhixi
    Liu, Chi
    Shi, Danli
    Tan, Zachary
    ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY, 2020, 9 (04): : 299 - 307
  • [30] Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging
    Wellnhofer, Ernst
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
12345