Design Heuristics for Ethical Online Institutions

Noriega, Pablo; Verhagen, Harko; Padget, Julian and d'Inverno, Mark. 2022. 'Design Heuristics for Ethical Online Institutions'. In: International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE 2022: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV). Virtual Event 9 May 2022. [Conference or Workshop Item]

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Abstract or Description

A major challenge in AI is designing autonomous systems that capture the values of stakeholders, and do so in such away that one can assess the extent to which that system’s behaviour is aligned to those values. In this paper we discuss our response to this challenge that is both practical and built on clear principles. Specifically, we propose eleven heuristics to organise the process of making values operational in the design of particular class of AI systems called online institutions. These are governed systems of interacting communities of human and autonomous artificial agents.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1007/978-3-031-20845-4_14

Additional Information:

“This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-20845-4_14. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms”.

Keywords:

Online institutions, WIT design pattern, Conscientious design, Embedding values, Value alignment, Value-sensitive design

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
24 November 2022Published

Event Location:

Virtual Event

Date range:

9 May 2022

Item ID:

33036

Date Deposited:

10 Jan 2023 13:49

Last Modified:

24 Nov 2023 02:26

URI:

https://research.gold.ac.uk/id/eprint/33036

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