Public AI Canvas for AI-Enabled Public Value : A Design Science Approach

Title data

Fatima, Samar ; Desouza, Kevin C. ; Buck, Christoph ; Fielt, Erwin:
Public AI Canvas for AI-Enabled Public Value : A Design Science Approach.
In: Government Information Quarterly. Vol. 39 (2022) Issue 4 . - No. 101722.
ISSN 0740-624x
DOI: https://doi.org/10.1016/j.giq.2022.101722

Project information

Abstract in another language

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.