Normative conflict resolution through human–autonomous agent interaction

We have become increasingly reliant on the decision-making capabilities of autonomous agents. These decisions are often executed under non-ideal conditions, offer significant moral risk, and directly affect human well-being. Such decisions may involve the choice to optimise one value over another: p...

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Main Authors: Beverley Townsend, Katie J. Parnell, Sinem Getir Yaman, Gabriel Nemirovsky, Radu Calinescu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Journal of Responsible Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666659625000101
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author Beverley Townsend
Katie J. Parnell
Sinem Getir Yaman
Gabriel Nemirovsky
Radu Calinescu
author_facet Beverley Townsend
Katie J. Parnell
Sinem Getir Yaman
Gabriel Nemirovsky
Radu Calinescu
author_sort Beverley Townsend
collection DOAJ
description We have become increasingly reliant on the decision-making capabilities of autonomous agents. These decisions are often executed under non-ideal conditions, offer significant moral risk, and directly affect human well-being. Such decisions may involve the choice to optimise one value over another: promoting safety over human autonomy, or ensuring accuracy over fairness, for example. All too often decision-making of this kind requires a level of normative evaluation involving ethically defensible moral choices and value judgements, compromises, and trade-offs. Guided by normative principles such decisions inform the possible courses of action the agent may take and may even change a set of established actionable courses.This paper seeks to map the decision-making processes in normative choice scenarios wherein autonomous agents are intrinsically linked to the decision process. A care-robot is used to illustrate how a normative choice - underpinned by normative principles - arises, where the agent must ‘choose’ an actionable path involving the administration of critical or non-critical medication. Critically, the choice is dependent upon the trade-off involving two normative principles: respect for human autonomy and the prevention of harm. An additional dimension is presented, that of the inclusion of the urgency of the medication to be administered, which further informs and changes the course of action to be followed.We offer a means to map decision-making involving a normative choice within a decision ladder using stakeholder input, and, using defeasibility, we show how specification rules with defeaters can be written to operationalise such choice.
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spelling doaj-art-e92c9fbdc07f410fb41ea16b171c03a62025-08-20T03:00:07ZengElsevierJournal of Responsible Technology2666-65962025-03-012110011410.1016/j.jrt.2025.100114Normative conflict resolution through human–autonomous agent interactionBeverley Townsend0Katie J. Parnell1Sinem Getir Yaman2Gabriel Nemirovsky3Radu Calinescu4University of York, York, England, UKUniversity of Southampton, Southampton, England UK; Corresponding author.University of York, York, England, UKUniversity of York, York, England, UKUniversity of York, York, England, UKWe have become increasingly reliant on the decision-making capabilities of autonomous agents. These decisions are often executed under non-ideal conditions, offer significant moral risk, and directly affect human well-being. Such decisions may involve the choice to optimise one value over another: promoting safety over human autonomy, or ensuring accuracy over fairness, for example. All too often decision-making of this kind requires a level of normative evaluation involving ethically defensible moral choices and value judgements, compromises, and trade-offs. Guided by normative principles such decisions inform the possible courses of action the agent may take and may even change a set of established actionable courses.This paper seeks to map the decision-making processes in normative choice scenarios wherein autonomous agents are intrinsically linked to the decision process. A care-robot is used to illustrate how a normative choice - underpinned by normative principles - arises, where the agent must ‘choose’ an actionable path involving the administration of critical or non-critical medication. Critically, the choice is dependent upon the trade-off involving two normative principles: respect for human autonomy and the prevention of harm. An additional dimension is presented, that of the inclusion of the urgency of the medication to be administered, which further informs and changes the course of action to be followed.We offer a means to map decision-making involving a normative choice within a decision ladder using stakeholder input, and, using defeasibility, we show how specification rules with defeaters can be written to operationalise such choice.http://www.sciencedirect.com/science/article/pii/S2666659625000101Normative conflictAutonomous agentsDecision-makingChoiceDefeasibilityDecision ladder
spellingShingle Beverley Townsend
Katie J. Parnell
Sinem Getir Yaman
Gabriel Nemirovsky
Radu Calinescu
Normative conflict resolution through human–autonomous agent interaction
Journal of Responsible Technology
Normative conflict
Autonomous agents
Decision-making
Choice
Defeasibility
Decision ladder
title Normative conflict resolution through human–autonomous agent interaction
title_full Normative conflict resolution through human–autonomous agent interaction
title_fullStr Normative conflict resolution through human–autonomous agent interaction
title_full_unstemmed Normative conflict resolution through human–autonomous agent interaction
title_short Normative conflict resolution through human–autonomous agent interaction
title_sort normative conflict resolution through human autonomous agent interaction
topic Normative conflict
Autonomous agents
Decision-making
Choice
Defeasibility
Decision ladder
url http://www.sciencedirect.com/science/article/pii/S2666659625000101
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AT sinemgetiryaman normativeconflictresolutionthroughhumanautonomousagentinteraction
AT gabrielnemirovsky normativeconflictresolutionthroughhumanautonomousagentinteraction
AT raducalinescu normativeconflictresolutionthroughhumanautonomousagentinteraction