Benoit, Kenneth ORCID: 0000-0002-0797-564X (2024) AI and data science for public policy. LSE Public Policy Review, 3 (3). ISSN 2633-4046
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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.
Item Type: | Article |
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Additional Information: | © 2024 The Author(s) |
Divisions: | Data Science Institute Methodology |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science H Social Sciences L Education |
Date Deposited: | 21 Jan 2025 14:39 |
Last Modified: | 21 Jan 2025 14:42 |
URI: | http://eprints.lse.ac.uk/id/eprint/126978 |
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