Evidence map›Paper›PMID 39583153›Full record

ArticlePhilosophia (Ramat-Gan, Israel)2024

How AI Systems Can Be Blameworthy.

Hannah Altehenger, Leonhard Menges, Peter Schulte

Abstract read
In one paragraph

Article in Philosophia (Ramat-Gan, Israel), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hannah AltehengerDepartment of Philosophy, University of Konstanz, Universitätsstraße 10, 78464 Konstanz, Germany.ORCID 0000-0001-7448-1984
Leonhard MengesDepartment of Philosophy (Faculty of Social Sciences), University of Salzburg, Franziskanergasse 1, 5020 Salzburg, Austria.ORCID 0000-0002-0539-0787
Peter SchulteDepartment of Historical, Philosophical and Religious Studies, Umeå University, Universitetstorget 4, 901 87 Umeå, Sweden.ORCID 0000-0001-8828-288X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI systems, like self-driving cars, healthcare robots, or Autonomous Weapon Systems, already play an increasingly important role in our lives and will do so to an even greater extent in the near future. This raises a fundamental philosophical question: who is morally responsible when such systems cause unjustified harm? In the paper, we argue for the admittedly surprising claim that some of these systems can themselves be morally responsible for their conduct in an important and everyday sense of the term-the attributability sense. More specifically, relying on work by Nomy Arpaly and Timothy Schroeder (

Indexed as

Artificial IntelligenceAttributabilityDesireQuality of WillResponsibilityRobots, Blameworthiness

Identifiers

PMID39583153
PMCPMC11579044

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.