AI and data science for public policy

• Main Author: BENOIT, Kenneth
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: AI; Data science; Ethical AI; Algorithmic accountability; Social science; Education; Artificial Intelligence and Robotics; Public Affairs, Public Policy and Public Administration
• Online Access: https://ink.library.smu.edu.sg/soss_research/4139; https://ink.library.smu.edu.sg/context/soss_research/article/5398/viewcontent/6728b69031025.pdf
• Institution: Singapore Management University

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.