Public AI canvas for AI-enabled public value: A design science approach

被引:18
|
作者
Fatima, Samar [1 ]
Desouza, Kevin C. [1 ,2 ]
Buck, Christoph [2 ]
Fielt, Erwin [3 ]
机构
[1] Queensland Univ Technol, Sch Management, QUT Business Sch, GPO Box 2434, Brisbane, Qld 4001, Australia
[2] Queensland Univ Technol, Ctr Future Enterprise, QUT Business Sch, Brisbane, Qld, Australia
[3] Queensland Univ Technol, Sch Informat Syst, Brisbane, Qld, Australia
关键词
Artificial intelligence; Business model canvas; Public agencies; Public value; Design science; BUSINESS MODEL INNOVATION; ARTIFICIAL-INTELLIGENCE; INFORMATION-SYSTEMS; E-GOVERNMENT; CITIZEN SATISFACTION; SECTOR; TRANSPARENCY; PERSPECTIVE; CHALLENGES; ALGORITHMS;
D O I
10.1016/j.giq.2022.101722
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Public agencies have a strong interest in artificial intelligence (AI) systems. However, many public agencies lack tools and frameworks to articulate a viable business model and evaluate public value as they consider investing in AI systems. The business model canvas used extensively in the private sector offers us a foundation for designing a public AI canvas (PAIC). Employing a design science approach, this study reports on the design and evaluation of PAIC. The PAIC comprises three distinctive layers: (1) the public value-oriented AI-enablement layer; (2) the public value logic layer; and (3) the public value-oriented social guidance layer. PAIC offers guidance on innovating the business models of public agencies to create and capture AI-enabled value. For practitioners, PAIC presents a validated tool to guide AI deployment in public agencies.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening
    Eltorai, Adam E. M.
    Parris, Dominick J.
    Tarrant, Mary Jo
    Mayo-Smith, William W.
    Andriole, Katherine P.
    CLINICAL IMAGING, 2024, 115
  • [42] AI in legal services: new trends in AI-enabled legal services
    Marcos Eduardo Kauffman
    Marcelo Negri Soares
    Service Oriented Computing and Applications, 2020, 14 : 223 - 226
  • [43] AI in legal services: new trends in AI-enabled legal services
    Kauffman, Marcos Eduardo
    Soares, Marcelo Negri
    SERVICE ORIENTED COMPUTING AND APPLICATIONS, 2020, 14 (04) : 223 - 226
  • [44] AI in the Public Eye: Investigating Public AI Literacy Through AI Art
    Hemment, Drew
    Currie, Morgan
    Bennett, S. J.
    Elwes, Jake
    Ridler, Anna
    Sinders, Caroline
    Vidmar, Matjaz
    Hill, Robin
    Warner, Holly
    PROCEEDINGS OF THE 6TH ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2023, 2023, : 931 - 942
  • [45] An AI-enabled approach for improving advertising identification and promotion in social networks
    Shi, Baisheng
    Wang, Hao
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 188
  • [46] Just preparation for war and AI-enabled weapons
    Regan, Mitt
    Davidovic, Jovana
    FRONTIERS IN BIG DATA, 2023, 6
  • [47] AI-enabled traveling wave protection for microgrids
    Etingov, Dmitrii A.
    Zhang, Peng
    Tang, Zefan
    Zhou, Yifan
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 210
  • [48] AI-enabled Enterprise Information Systems for Manufacturing
    Zdravkovic, Milan
    Panetto, Herve
    Weichhart, Georg
    ENTERPRISE INFORMATION SYSTEMS, 2022, 16 (04) : 668 - 720
  • [49] AI-Enabled Electrocardiogram Analysis for Disease Diagnosis
    Mamun, Mohammad Mahbubur Rahman Khan
    Elfouly, Tarek
    APPLIED SYSTEM INNOVATION, 2023, 6 (05)
  • [50] AI-Enabled Cross-Modal Communications
    Wei, Xin
    Zhou, Liang
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (04) : 182 - 189