Global Public Policy and Governance - Call for Papers: AI and Public Policy: Many Dimensions and Key Challenges
Special Issue | AI and Public Policy: Many Dimensions and Key Challenges (this opens in a new tab)
Call for Papers (this opens in a new tab)
Guest Editors:
Dwayne Woods, Purdue University, USA, dwoods2@purdue.edu
Kyoung-cheol (Casey) Kim, University of Georgia, USA, Kyoungcheol.Kim@uga.edu
Submission of proposals: Apr 1, 2024
Submission of full papers: Sep 1, 2024
Aims and Scope
This special issue explores the multifaceted impacts of artificial intelligence (AI) on society. It encompasses technical, ethical, legal, economic, social, and policy perspectives on recent advances in AI. Core topics include guidelines for responsible AI, algorithmic bias, AI governance models, workforce automation, AI in sectors like healthcare and transportation, AI for sustainability, AI transformations in education, progress in natural language processing, and analyzed effects of the AI revolution across diverse domains and cultures. By assembling experts worldwide across computer science, public policy, law, business, psychology, economics, and international development, this issue promotes discourse on managing equitable global AI progress and upholding human values. Both theoretical and empirical studies are strongly encouraged, including case analyses of real-world AI deployments and socioeconomic impacts in emerging economies.
Themes
National and International AI Policies: Comparative analyses of how countries are developing AI governance models. Explorations on the role of international bodies in regulations and policy harmonization.
Ethical and Responsible AI: Studies critically evaluating ethical issues (e.g., privacy, bias, autonomy) in AI systems across contexts.
AI Impacts and Governance by Sector: Investigations into AI integration and regulatory practices in sectors like healthcare, finance, transportation, and education.
Public Perceptions and Societal Impacts on AI Policy: Examinations of how public opinion and community consequences influence global AI policy development.
Innovation and Governance in AI Development: Strategies proposed for balancing advancement and ethical oversight in AI systems.
AI in Developing Nations: Evaluations of how AI is governed in emerging economies and context-specific opportunities and challenges.
We welcome perspectives illuminating current issues in AI policy and governance worldwide, both locally and globally.
Working Plan
Submission:
Abstracts (1-2 pages) should be submitted in English to [gppg@fudan.edu.cn] by [Apr 1, 2024]. Submissions should outline the research question(s), theoretical framework, methodological approach, and preliminary findings.
Guest editors will offer comments to the authors in the writing process and may organize workshops so papers can be presented and discussed.
After being revised and getting the approval of guest editors, full papers are expected to be submitted directly to the online submission system of Global Public Policy and Governance by [Sep 1, 2024]. The format of research papers should comply with the style of GPPG (i.e., the APA reference style) and a word limit of 10,000 words. Details are available in this link (this opens in a new tab).
All papers will go through a peer review process organized by the guest editors. The peer review process will follow the journal's rigorous standards and policies. Reviewers should follow Springer Nature’s and the journal’s more detailed Peer-Review Policy (this opens in a new tab).
If accepted, the papers will be made available online before being published in print.
For questions regarding this issue, please contact the guest editor at [dwoods2@purdue.edu]
Guest Editors Bios
Dwayne Woods is a Professor of Political Science at Purdue University. His research interests include comparative politics, political economy, the interplay of technology and politics, and conceptual models. His academic work has been published in journals such as Comparative Political Studies, Comparative Politics, Journal of Modern African Politics, and Global Public Policy and Governance.
Kyoung-cheol (Casey) Kim is a PhD candidate in the Department of Public Administration and Policy at the University of Georgia. His research interests include bureaucracy, motivation, and institutional analysis. In particular, he focuses on investigating how interventions from artificial intelligence systems, as novel decision-making agents in governance, can transform the functioning of humans, organizations, and society.
About the Journal
Global Public Policy and Governance (GPPG) promotes multidisciplinary research to reflect on how increasing global interdependence has shaped public policy and governance in its values, structures, dynamics, and consequences, and vice versa. The journal welcomes organizational, administrative, managerial, and policy-based research that explores public sector reforms and developments in an increasingly globalized world. GPPG encourages innovative public administration research that breaks through current theoretical paradigms embedded in sovereignty boundaries. We welcome empirical work, case studies, and theoretical inquiry that present new models and paradigms.
GPPG is a scholarly, peer-reviewed journal that aims to publish and increase global public policy and governance knowledge. Many public policy issues are globally or regionally linked, including domestic policy adoptions with regional or international relevance. The scope of GPPG covers comparative public policy and governance, domestic public policy and governance with global significance, public policy diffusion across national borders, and regional/global policy and governance through supranational mechanisms. Areas of public policy do not limit publications in GPPG, and preference is given to topics of widespread significance.
The journal is included in major databases like SCOPUS. Complete information of the journal is available at: Global Public Policy and Governance | Home (springer.com) (this opens in a new tab)