Ethical alignment in citizen-centric AI
Ethical alignment in citizen-centric AI
This paper discusses the importance of ethical alignment in AI systems, particularly those designed with citizen end users in mind. It explores the intersection of responsible AI, socio-technical systems, and citizen-centric design, proposing that addressing the \textit{ethical} aspect of decisions in citizen-centric AI systems enhances trust and acceptance of AI technologies. We focus on four key areas: (1) the formal specification of ethical principles, (2) processes to extract and elicit individual users' ethical preferences, (3) aggregating these ethical preferences for a collective, and (4) mechanisms to ensure that the behaviour of AI systems aligns with the collective ethical preferences. We put forward a research roadmap by identifying challenges in these areas and highlighting solution concepts with the potential to address them.
Deshmukh, Jayati
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Yazdanpanah, Vahid
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Stein, Sebastian
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Norman, Timothy
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Deshmukh, Jayati
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Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Stein, Sebastian
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Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Deshmukh, Jayati, Yazdanpanah, Vahid, Stein, Sebastian and Norman, Timothy
(2024)
Ethical alignment in citizen-centric AI.
The Pacific Rim International Conference on Artificial Intelligence 2024, , Kyoto, Japan.
18 - 24 Nov 2024.
12 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper discusses the importance of ethical alignment in AI systems, particularly those designed with citizen end users in mind. It explores the intersection of responsible AI, socio-technical systems, and citizen-centric design, proposing that addressing the \textit{ethical} aspect of decisions in citizen-centric AI systems enhances trust and acceptance of AI technologies. We focus on four key areas: (1) the formal specification of ethical principles, (2) processes to extract and elicit individual users' ethical preferences, (3) aggregating these ethical preferences for a collective, and (4) mechanisms to ensure that the behaviour of AI systems aligns with the collective ethical preferences. We put forward a research roadmap by identifying challenges in these areas and highlighting solution concepts with the potential to address them.
Text
paper_473
- Accepted Manuscript
More information
Accepted/In Press date: 20 August 2024
Venue - Dates:
The Pacific Rim International Conference on Artificial Intelligence 2024, , Kyoto, Japan, 2024-11-18 - 2024-11-24
Identifiers
Local EPrints ID: 493529
URI: http://eprints.soton.ac.uk/id/eprint/493529
PURE UUID: 1289bfd8-7178-44d7-8525-de1df65cc456
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Date deposited: 05 Sep 2024 16:45
Last modified: 06 Sep 2024 02:10
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Contributors
Author:
Jayati Deshmukh
Author:
Vahid Yazdanpanah
Author:
Sebastian Stein
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