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*Panel Call for Papers 1: Artificial Intelligence and Urban Governance

Panel at 2022 Asian Association of Public Administration Annual Conference

Shanghai, December 3-4, 2022

Full Paper Deadline: November 1, 2022

 

Artificial Intelligence and Urban Governance

In the past decade, the rapid development of Artificial Intelligence (AI) has driven tremendous changes in the economy, society, and government (Giest & Klievink, 2022). In cities, the adoption and application of AI may have changed the lifestyles of citizens, the roles and functions of government, and the activities of corporations and NGOs.

Many researchers have noticed the chances and challenges of AI in urban governance. For specific areas, the algorithms recently developed in AI areas raise the performance of city public spending (Valle-Cruz et al., 2022), public services (O'Malley 2014), citizens’ satisfaction and support (Chatterjee et al., 2021; Stukal et al., 2022) and so on. The use of smart tools also poses risks and challenges to governments and other participants in urban governance, especially in the areas of public policy (Valle-Cruz et al., 2020), public order and law (Nunn, 2020), privacy protection (Saura et al., 2022), public value (Andrews, 2019), and AI ethics (Taeihagh, 2021). The ethical and legal concerns of AI applications have attracted fierce discussion.

However, there are still important questions to be investigated and solved. Research remains negligible about the (potential) changes in public service demand and supply, relationships, transactions, and interactions among governance partners brought by AI. Many experimentations of AI governance in both developed and developing countries also bring great opportunities to analyze the effects and mechanisms of AI application, and cross-country and cross-city comparative studies are urgently needed. Despite much philosophical and ethical discussion on AI governance, more empirical studies are needed to identify the changes, effects, opportunities, and risks brought by AI. The role of AI remains to be explored in facing new governance challenges and achieving sustainable development goals.

This panel aspires to identify new research landscapes and build conscious research agendas for AI and urban governance. Research topics of interest include, but are not limited to:

Ø AI and citizens

• Citizen rights, values, and diversity

• Citizen-centric services

• Trust in public authorities

• Privacy protection

Ø AI in city governments

• Policy making, implementation, and evaluation

• Bureaucracy and the structure of bureaucracies

• Personnel management

• Threat intelligence and security

Ø AI in NGOs and private sector organizations

• Organizational development and service supply

• Intersectoral collaborations

• Relationships and interactions between the state and social actors.

Ø AI in city public services

• Health, education, and social welfare

• Public security and society stability

• Transportation and urban planning

• Emergency services

• Public service delivery

Ø AI for sustainable development

• Environment protection and global warming

• Reducing poverty and hunger

• healthier and more sustainable cities

Ø Theories about AI in governance

• Different concepts of AI in governance

• The development history of AI in governance

• AI applications and stakeholder’s relation

• Fairness and inequality of AI use

 

Research presented at this organized panel might be considered for publication by Policy & Politics and Urban Governance. Both journals will leave it to authors to decide where they think their article would best fit with different journal aims and scope. Authors are strongly advised to click on the journal titles above to read their editorial statements before submitting, to ensure their article is of relevance to the journal. All manuscripts submitted to the two journals would be subject to the standard peer review process.

 

Yu Zeng, Shanghai Jiao Tong University, Email: zengyuipa@sjtu.edu.cn

Liang Ma, Reming University of China, Email: liangma@ruc.edu.cn

Jiannan Wu, Shanghai Jiao Tong University, Email:jnwu@sjtu.edu.cn

Simon Marvin, University of Sheffield, Email: s.marvin@sheffield.ac.uk

Ling Zhu University of Houston Email: lzhu4@central.uh.edu

 

Reference

Andrews, L. (2019). Public administration, public leadership, and the construction of public value in the age of the algorithm and ‘big data.’ Public Administration, 97(2), 296–310. https://doi.org/10.1111/padm.12534

Chatterjee, S., Khorana, S., & Kizgin, H. (2021). Harnessing the Potential of Artificial Intelligence to Foster Citizens’ Satisfaction: An empirical study on India. Government Information Quarterly, 101621. https://doi.org/10.1016/j.giq.2021.101621

Giest, S. N., & Klievink, B. (2022). More than a digital system: How AI is changing the role of bureaucrats in different organizational contexts. Public Management Review, 1–20. https://doi.org/10.1080/14719037.2022.2095001

Nunn, R. (2020). Discrimination in the Age of Algorithms. In W. Barfield (Ed.), The Cambridge Handbook of the Law of Algorithms (1st ed., pp. 182–198). Cambridge University Press. https://doi.org/10.1017/9781108680844.010

O’Malley, M. (2014). Doing What Works: Governing in the Age of Big Data. Public Administration Review, 74(5), 555–56.

Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2022). Assessing behavioral data science privacy issues in government artificial intelligence deployment. Government Information Quarterly, 101679. https://doi.org/10.1016/j.giq.2022.101679

Stukal, D., Sanovich, S., Bonneau, R., & Tucker, J. A. (2022). Why Botter: How Pro-Government Bots Fight Opposition in Russia. American Political Science Review, 116(3), 843–857. https://doi.org/10.1017/S0003055421001507

Taeihagh, A. 2021. Governance of artificial intelligence. Policy and Society,40(2), 137-157.

Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gomez, E. A. (2020). Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Government Information Quarterly, 37(4), 101509. https://doi.org/10.1016/j.giq.2020.101509

Valle-Cruz, D., Fernandez-Cortez, V., & Gil-Garcia, J. R. (2022). From E-budgeting to smart budgeting: Exploring the potential of artificial intelligence in government decision-making for resource allocation. Government Information Quarterly, 39(2), 101644. https://doi.org/10.1016/j.giq.2021.101644

 


Update date : 2022.10.21 11:16
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