This paper addresses a gap in the AI governance literature in understanding collaboration between national governments and tribal nations in governing AI systems for emergency management. This conceptual work develops and presents a governance design framework for accountable AI systems to fill the knowledge gap by drawing from the fields of public administration, information systems, indigenous studies, and emergency management. This framework situates the governance framework in a cross-sovereignty historical, legal, and policy contexts. It captures the multi-level features and embeddedness of governance structures, including the levels of collaborative governance structure, software system governance rules, and technical software system design. The focal governance dynamics involve the collaborative process in the bi-directional relationship between governance rules and technical design for accountability and the feedback loop. The framework highlights the importance of multi-level and process considerations in designing accountable AI systems. Productive future research avenues include empirical investigation and resulting refinement of the framework and analytical rigor employing institutional grammar. 
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                            Embracing the ambiguity: Tracing climate response diversity in urban water management
                        
                    
    
            Abstract Climate change is a management and governance challenge requiring diverse potential responses. This article highlights the critical role public managers play in navigating the response diversity of such governance systems. Response diversity is the rule‐based set of options available for responding to unexpected service disruptions and is distinguished from ambiguity, which holds a negative valence within public administration. We first develop theoretical propositions about how institutions influence response diversity, drawing on public administration, resilience, and cognitive science research. Then, we use the Institutional Grammar and Institutional Network Analysis tools to empirically trace the rate‐making processes in two U.S. urban water utilities. We conclude that institutional designs do distinctively influence response diversity and are therefore key for evaluating the climate adaptability of heavily engineered infrastructure systems. Specifically, we identify important differences in the diversity of information, participation, and heuristics used for selecting investment strategies. 
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                            - Award ID(s):
- 1923880
- PAR ID:
- 10523568
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Public Administration
- ISSN:
- 0033-3298
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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