Design Heuristics for Ethical Online Institutions

Pablo Noriega; Harko Verhagen; Julian Padget; Mark d’Inverno

doi:10.1007/978-3-031-20845-4_14

Design Heuristics for Ethical Online Institutions

Pablo Noriega
, Harko Verhagen
, Julian Padget^*
, Mark d’Inverno

^*Corresponding author for this work

Academy of Music

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

10 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV
Subtitle of host publication	International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers
Editors	Nirav Ajmeri, Andreasa Morris Martin, Bastin Tony Savarimuthu
Place of Publication	Switzerland
Publisher	Springer Cham
Pages	213-230
Number of pages	18
ISBN (Electronic)	9783031208454
ISBN (Print)	9783031208447
DOIs	https://doi.org/10.1007/978-3-031-20845-4_14
Publication status	Published - 23 Nov 2022
Event	International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems - Virtual, Online Duration: 9 May 2022 → 9 May 2022 https://coin-workshop.github.io/coine-2022-auckland/ (Conference website) https://coin-workshop.github.io/coine-2022-auckland/technical_programme.html (Conference schedule)

Publication series

Name	Lecture Notes in Computer Science
Volume	13549
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
ISSN (Print)	2945-9133
ISSN (Electronic)	2945-9141

Name	COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems

Conference

Conference	International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems
Abbreviated title	COINE 2022
City	Virtual, Online
Period	9/05/22 → 9/05/22
Internet address	https://coin-workshop.github.io/coine-2022-auckland/ (Conference website) https://coin-workshop.github.io/coine-2022-auckland/technical_programme.html (Conference schedule)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

User-Defined Keywords

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

Access to Document

10.1007/978-3-031-20845-4_14

Cite this

Noriega, P., Verhagen, H., Padget, J., & d’Inverno, M. (2022). Design Heuristics for Ethical Online Institutions. In N. Ajmeri, A. Morris Martin, & B. T. Savarimuthu (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers (pp. 213-230). (Lecture Notes in Computer Science; Vol. 13549), (Lecture Notes in Artificial Intelligence), (COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems). Springer Cham. https://doi.org/10.1007/978-3-031-20845-4_14

Noriega, Pablo ; Verhagen, Harko ; Padget, Julian et al. / Design Heuristics for Ethical Online Institutions. Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers. editor / Nirav Ajmeri ; Andreasa Morris Martin ; Bastin Tony Savarimuthu. Switzerland : Springer Cham, 2022. pp. 213-230 (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). (COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems).

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abstract = "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{\textquoteright}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.",

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

author = "Pablo Noriega and Harko Verhagen and Julian Padget and Mark d{\textquoteright}Inverno",

note = "Noriega{\textquoteright}s work is supported in part by the CIMBVAL project (Spanish government project \#TIN2017-89758-R). Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COINE 2022 ; Conference date: 09-05-2022 Through 09-05-2022",

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booktitle = "Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV",

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Noriega, P, Verhagen, H, Padget, J & d’Inverno, M 2022, Design Heuristics for Ethical Online Institutions. in N Ajmeri, A Morris Martin & BT Savarimuthu (eds), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers. Lecture Notes in Computer Science, vol. 13549, Lecture Notes in Artificial Intelligence, COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, Springer Cham, Switzerland, pp. 213-230, International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, Virtual, Online, 9/05/22. https://doi.org/10.1007/978-3-031-20845-4_14

Design Heuristics for Ethical Online Institutions. / Noriega, Pablo; Verhagen, Harko; Padget, Julian et al.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers. ed. / Nirav Ajmeri; Andreasa Morris Martin; Bastin Tony Savarimuthu. Switzerland: Springer Cham, 2022. p. 213-230 (Lecture Notes in Computer Science; Vol. 13549), (Lecture Notes in Artificial Intelligence), (COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Design Heuristics for Ethical Online Institutions

AU - Noriega, Pablo

AU - Verhagen, Harko

AU - Padget, Julian

AU - d’Inverno, Mark

N1 - Noriega’s work is supported in part by the CIMBVAL project (Spanish government project #TIN2017-89758-R). Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022/11/23

Y1 - 2022/11/23

N2 - 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.

AB - 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.

KW - Conscientious design

KW - Embedding values

KW - Online institutions

KW - Value alignment

KW - Value-sensitive design

KW - WIT design pattern

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DO - 10.1007/978-3-031-20845-4_14

M3 - Conference proceeding

AN - SCOPUS:85144434838

SN - 9783031208447

T3 - Lecture Notes in Computer Science

SP - 213

EP - 230

BT - Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV

A2 - Ajmeri, Nirav

A2 - Morris Martin, Andreasa

A2 - Savarimuthu, Bastin Tony

PB - Springer Cham

CY - Switzerland

T2 - International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems

Y2 - 9 May 2022 through 9 May 2022

ER -

Noriega P, Verhagen H, Padget J, d’Inverno M. Design Heuristics for Ethical Online Institutions. In Ajmeri N, Morris Martin A, Savarimuthu BT, editors, Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, Virtual Event, May 9, 2022, Revised Selected Papers. Switzerland: Springer Cham. 2022. p. 213-230. (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). (COINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems). doi: 10.1007/978-3-031-20845-4_14