Public Value Principles for Secure and Trusted AI
Pages 251 - 257
Abstract
The objective of this paper is to establish the fundamental public value principles that should govern safe and trusted artificial intelligence (AI). Public value is a dynamic concept that encompasses several dimensions. AI itself has evolved quite rapidly in the last few years, especially with the swift escalation of Generative AI. Governments around the world are grappling with how to govern AI, just as technologists ring alarm bells about the future consequences of AI. Our paper extends the debate on AI governance that is focused on ethical values of beneficence to that of economic values of public good. Viewed as a public good, AI use is beyond the control of the creators. Towards this end, the paper examined AI policies in the United States and Europe. We postulate three principles from a public values perspective: (i) ensuring security and privacy of each individual (or entity); (ii) ensuring trust in AI systems is verifiable; and (iii) ensuring fair and balanced AI protocols, wherein the underlying components of data and algorithms are contestable and open to public debate.
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Index Terms
- Public Value Principles for Secure and Trusted AI
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Published In
June 2024
1089 pages
ISBN:9798400709883
DOI:10.1145/3657054
Copyright © 2024 ACM.
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Association for Computing Machinery
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Published: 11 June 2024
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dg.o 2024
dg.o 2024: 25th Annual International Conference on Digital Government Research
June 11 - 14, 2024
Taipei, Taiwan
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