The University of Southampton
University of Southampton Institutional Repository

When to fill responsibility gaps: a proposal

When to fill responsibility gaps: a proposal
When to fill responsibility gaps: a proposal
Responsibility gaps appear where there is a mismatch between the amount of responsibility attributable to any set of entities (individuals, collectives, etc.) on standard models of responsibility and the amount one would otherwise desire to attribute somewhere. Claimed gaps appear in many ongoing debates, including those concerning government, corporate, and other forms of group agency and those concerning new technologies. They raise intuitively plausible calls to ‘fill’ gaps to address corresponding deficits in fundamental interests in someone to blame, compensate, or otherwise account for harms. This work aims to contribute to developing scholarship on whether and when to fill responsibility gaps and the reasons why gap-filling is appropriate in certain cases. It accordingly articulates and defends six related conditions for when it is morally appropriate to fill responsibility gaps. It argues that gaps should be filled where they (1) arise in circumstances posing a threat of non-de minimus harm but (2) are unavoidable or there are reasons to permit the gap to arise; (3) the harm is addressable and (4) addressing it would fulfill a responsibility-relevant good; and (5) there are reasons a specifiable person can be called upon to address the harm but (6) no other means of achieving the relevant good.
Responsibility, Responsibility Gaps, Agency, Group Agency, Group Responsibility, Artificial Intelligence, AI Ethics, AI, AI Responsibility
0022-5363
Da Silva, Michael
05ad649f-8409-4012-8edc-88709b1a3182
Da Silva, Michael
05ad649f-8409-4012-8edc-88709b1a3182

Da Silva, Michael (2024) When to fill responsibility gaps: a proposal. The Journal of Value Inquiry. (doi:10.1007/s10790-024-10011-y).

Record type: Article

Abstract

Responsibility gaps appear where there is a mismatch between the amount of responsibility attributable to any set of entities (individuals, collectives, etc.) on standard models of responsibility and the amount one would otherwise desire to attribute somewhere. Claimed gaps appear in many ongoing debates, including those concerning government, corporate, and other forms of group agency and those concerning new technologies. They raise intuitively plausible calls to ‘fill’ gaps to address corresponding deficits in fundamental interests in someone to blame, compensate, or otherwise account for harms. This work aims to contribute to developing scholarship on whether and when to fill responsibility gaps and the reasons why gap-filling is appropriate in certain cases. It accordingly articulates and defends six related conditions for when it is morally appropriate to fill responsibility gaps. It argues that gaps should be filled where they (1) arise in circumstances posing a threat of non-de minimus harm but (2) are unavoidable or there are reasons to permit the gap to arise; (3) the harm is addressable and (4) addressing it would fulfill a responsibility-relevant good; and (5) there are reasons a specifiable person can be called upon to address the harm but (6) no other means of achieving the relevant good.

Text
AAM_-_Gaps_in_JVI - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (107kB)
Text
s10790-024-10011-y - Version of Record
Available under License Creative Commons Attribution.
Download (753kB)

More information

Accepted/In Press date: 12 September 2024
e-pub ahead of print date: 7 October 2024
Keywords: Responsibility, Responsibility Gaps, Agency, Group Agency, Group Responsibility, Artificial Intelligence, AI Ethics, AI, AI Responsibility

Identifiers

Local EPrints ID: 495557
URI: http://eprints.soton.ac.uk/id/eprint/495557
ISSN: 0022-5363
PURE UUID: 74e6b734-df7f-4c19-99b1-1387f41c109e
ORCID for Michael Da Silva: ORCID iD orcid.org/0000-0002-7021-9847

Catalogue record

Date deposited: 18 Nov 2024 17:37
Last modified: 19 Nov 2024 03:02

Export record

Altmetrics

Contributors

Author: Michael Da Silva ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×