Publication Type
Journal Article
Version
publishedVersion
Publication Date
11-2024
Abstract
Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasising the need for fairness, human judgment, and democratic accountability. The issue provides a roadmap for harnessing AI’s potential responsibly, ensuring it serves the public good and upholds democratic values.
Keywords
AI, Data science, Ethical AI, Algorithmic accountability, Social science, Education
Discipline
Artificial Intelligence and Robotics | Public Affairs, Public Policy and Public Administration
Research Areas
Political Science
Publication
LSE Public Policy Review
Volume
3
Issue
3
First Page
1
Last Page
6
Identifier
10.31389/lseppr.115
Publisher
LSE Press
Citation
BENOIT, Kenneth.(2024). AI and data science for public policy. LSE Public Policy Review, 3(3), 1-6.
Available at: https://ink.library.smu.edu.sg/soss_research/4139
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.31389/lseppr.115
Included in
Artificial Intelligence and Robotics Commons, Public Affairs, Public Policy and Public Administration Commons
