An ethical decision-making framework with serious gaming: a smart water case study on flooding

Sensors and control technologies are being deployed at unprecedented levels in both urban and rural water environments. Because sensor networks and control allow for higher-resolution monitoring and decision making in both time and space, greater discretization of control will allow for an unprecede...

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Autores principales:	Gregory Ewing, Ibrahim Demir
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	decision support ethics flooding human-centered ai smart water systems Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/0a74c04695ee42d48c77b93b113706fe
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id	oai:doaj.org-article:0a74c04695ee42d48c77b93b113706fe
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spelling	oai:doaj.org-article:0a74c04695ee42d48c77b93b113706fe2021-11-05T17:46:36ZAn ethical decision-making framework with serious gaming: a smart water case study on flooding1464-71411465-173410.2166/hydro.2021.097https://doaj.org/article/0a74c04695ee42d48c77b93b113706fe2021-05-01T00:00:00Zhttp://jh.iwaponline.com/content/23/3/466https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Sensors and control technologies are being deployed at unprecedented levels in both urban and rural water environments. Because sensor networks and control allow for higher-resolution monitoring and decision making in both time and space, greater discretization of control will allow for an unprecedented precision of impacts, both positive and negative. Likewise, humans will continue to cede direct decision-making powers to decision-support technologies, e.g. data algorithms. Systems will have ever-greater potential to effect human lives, and yet, humans will be distanced from decisions. Combined these trends challenge water resources management decision-support tools to incorporate the concepts of ethical and normative expectations. Toward this aim, we propose the Water Ethics Web Engine (WE)2, an integrated and generalized web framework to incorporate voting-based ethical and normative preferences into water resources decision support. We demonstrate this framework with a ‘proof-of-concept’ use case where decision models are learned and deployed to respond to flooding scenarios. Findings indicate that the framework can capture group ‘wisdom’ within learned models to use in decision making. The methodology and ‘proof-of-concept’ system presented here are a step toward building a framework to engage people with algorithmic decision making in cases where ethical preferences are considered. We share our framework and its cyber components openly with the research community. HIGHLIGHTS Water Ethics Web Engine (WE)2 is a web framework to incorporate voting-based ethical preferences into water resources decision support.; We share (WE)2 openly at our project repository: https://github.com/uihilab/waterethicswebengine.; A proof-of-concept use case is presented where decision models are learned and deployed with flooding scenarios.; Results indicate that the framework can capture group ‘wisdom’ in learned models.;Gregory EwingIbrahim DemirIWA Publishingarticledecision supportethicsfloodinghuman-centered aismart water systemsInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 3, Pp 466-482 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	decision support ethics flooding human-centered ai smart water systems Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	decision support ethics flooding human-centered ai smart water systems Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Gregory Ewing Ibrahim Demir An ethical decision-making framework with serious gaming: a smart water case study on flooding
description	Sensors and control technologies are being deployed at unprecedented levels in both urban and rural water environments. Because sensor networks and control allow for higher-resolution monitoring and decision making in both time and space, greater discretization of control will allow for an unprecedented precision of impacts, both positive and negative. Likewise, humans will continue to cede direct decision-making powers to decision-support technologies, e.g. data algorithms. Systems will have ever-greater potential to effect human lives, and yet, humans will be distanced from decisions. Combined these trends challenge water resources management decision-support tools to incorporate the concepts of ethical and normative expectations. Toward this aim, we propose the Water Ethics Web Engine (WE)2, an integrated and generalized web framework to incorporate voting-based ethical and normative preferences into water resources decision support. We demonstrate this framework with a ‘proof-of-concept’ use case where decision models are learned and deployed to respond to flooding scenarios. Findings indicate that the framework can capture group ‘wisdom’ within learned models to use in decision making. The methodology and ‘proof-of-concept’ system presented here are a step toward building a framework to engage people with algorithmic decision making in cases where ethical preferences are considered. We share our framework and its cyber components openly with the research community. HIGHLIGHTS Water Ethics Web Engine (WE)2 is a web framework to incorporate voting-based ethical preferences into water resources decision support.; We share (WE)2 openly at our project repository: https://github.com/uihilab/waterethicswebengine.; A proof-of-concept use case is presented where decision models are learned and deployed with flooding scenarios.; Results indicate that the framework can capture group ‘wisdom’ in learned models.;
format	article
author	Gregory Ewing Ibrahim Demir
author_facet	Gregory Ewing Ibrahim Demir
author_sort	Gregory Ewing
title	An ethical decision-making framework with serious gaming: a smart water case study on flooding
title_short	An ethical decision-making framework with serious gaming: a smart water case study on flooding
title_full	An ethical decision-making framework with serious gaming: a smart water case study on flooding
title_fullStr	An ethical decision-making framework with serious gaming: a smart water case study on flooding
title_full_unstemmed	An ethical decision-making framework with serious gaming: a smart water case study on flooding
title_sort	ethical decision-making framework with serious gaming: a smart water case study on flooding
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/0a74c04695ee42d48c77b93b113706fe
work_keys_str_mv	AT gregoryewing anethicaldecisionmakingframeworkwithseriousgamingasmartwatercasestudyonflooding AT ibrahimdemir anethicaldecisionmakingframeworkwithseriousgamingasmartwatercasestudyonflooding AT gregoryewing ethicaldecisionmakingframeworkwithseriousgamingasmartwatercasestudyonflooding AT ibrahimdemir ethicaldecisionmakingframeworkwithseriousgamingasmartwatercasestudyonflooding
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An ethical decision-making framework with serious gaming: a smart water case study on flooding

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