The Application and Moral Considerations of Artificial Intelligence Technology in Social Decision Making and Public Management
Haoming Zhang ()
Additional contact information
Haoming Zhang: Nanchang Institute of Technology
A chapter in Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023), 2024, pp 545-550 from Springer
Abstract:
Abstract This article explores the application of artificial intelligence technology in social decision-making and public management, and analyzes the ethical issues and considerations involved. The application of artificial intelligence technology in social decision-making includes data analysis and prediction, as well as intelligent decision support systems. In public management, artificial intelligence applications involve automated processes and robot assistants, as well as data-driven policy formulation. However, artificial intelligence applications have also raised a series of ethical challenges, including privacy and data security issues, as well as issues of inequality and discrimination. To address these challenges, relevant ethical frameworks and guidelines have been proposed, including guidance on ethical principles and values, as well as support from regulatory and legal provisions. Only within a reasonable ethical framework can artificial intelligence technology better provide value for social decision-making and public management, and promote social justice and sustainable development.
Keywords: artificial intelligence; Social decision-making; public administration (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-260-6_68
Ordering information: This item can be ordered from
http://www.springer.com/9789464632606
DOI: 10.2991/978-94-6463-260-6_68
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().