Evidence map›Paper›PMID 41339995›Full record

ArticleScience and engineering ethics2025

Choosing Less Harmful Alternatives: The Ethics of Harm Reduction in Emerging Technologies.

Cody Turner

Abstract read
In one paragraph

Article in Science and engineering ethics, 2025. 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

1 author.

Cody TurnerDepartment of Philosophy, Bentley University, Waltham, MA, USA. codyturner@bentley.edu.ORCID http://orcid.org/0000-0002-8686-1738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When are we obligated to choose less harmful alternatives to existing practices? This article addresses this deceptively simple question by developing the Principle of Choosing Less Harmful Alternatives (PCLHA), which holds that it is morally wrong to continue to engage in a practice that causes harm when an affordable, accessible, functionally equivalent, less harmful alternative exists. While PCLHA pertains to any practice for which its conditions are met, the principle is particularly valuable for contingent (rather than intrinsic) wrongs, delineating a sufficient condition for when technological or social progress renders once-permissible practices impermissible. I pressure-test PCLHA by applying it to emerging technologies across several domains, including food ethics (cultivated meat), transportation ethics (autonomous vehicles), and leisure ethics (virtual reality tourism and sex bots). Through these applications, I demonstrate that the principle faces two opposing challenges: it appears simultaneously too weak, by not requiring switches to less harmful alternatives when they fall short of full functional equivalence (e.g., allowing factory farming despite massive harm), and too strong by requiring switches to alternatives in cases where this feels intuitively overreaching (e.g., mandating virtual reality tourism). I address these challenges via complementary modifications to PCLHA: a ‘Sliding Scale Modification’ that allows the required degree of functional equivalence to vary with harm severity, and a ‘Threshold of Harm Qualification’ that limits PCLHA’s application to cases of significant harm.

Indexed as

Harm ReductionInventionsMoralsTechnologyAgricultureHumansVirtual RealityEmerging technologiesFood ethicsFunctional equivalenceHarm reductionTechnology ethicsTransportation ethics

Identifiers

PMID41339995
PMCPMC12789246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.