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  4. Public AI canvas for AI-enabled public value: A design science approach
 
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2022
Journal Article
Title

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

Abstract
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.
Author(s)
Fatima, Samar
Desouza, Kevin C.
Buck, Christoph  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Fielt, Erwin
Journal
Government information quarterly  
DOI
10.1016/j.giq.2022.101722
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
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