Evidence map›Paper›PMID 41082126›Full record

ArticleScience and engineering ethics2025

Ethics Readiness of Technology: The Case for Aligning Ethical Approaches with Technological Maturity.

Eline de Jong

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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.

Eline de JongInstitute for Logic, Language and Computation, Institute of Physics, Qusoft Research Center for Quantum Software, University of Amsterdam, Science Park 107 1098 XG, Amsterdam, The Netherlands. e.l.dejong@uva.nl.ORCID 0000-0002-9167-5585

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWA.1436.20.002
6 · The paper itself

Abstract

The ethics of emerging technologies faces an anticipation dilemma: engaging too early risks overly speculative concerns, while engaging too late may forfeit the chance to shape a technology's trajectory. Despite various methods to address this challenge, no framework exists to assess their suitability across different stages of technological development. This paper proposes such a framework. I conceptualise two main ethical approaches: outcomes-oriented ethics, which assesses the potential consequences of a technology's materialisation, and meaning-oriented ethics, which examines how (social) meaning is attributed to a technology. I argue that the strengths and limitations of outcomes- and meaning-oriented ethics depend on the uncertainties surrounding a technology, which shift as it matures. To capture this evolution, I introduce the concept of ethics readiness-the readiness of a technology to undergo detailed ethical scrutiny. Building on the widely known Technology Readiness Levels (TRLs), I propose Ethics Readiness Levels (ERLs) to illustrate how the suitability of ethical approaches evolves with a technology's development. At lower ERLs, where uncertainties are most pronounced, meaning-oriented ethics proves more effective; while at higher ERLs, as impacts become clearer, outcomes-oriented ethics gains relevance. By linking Ethics Readiness to Technology Readiness, this framework underscores that the appropriateness of ethical approaches evolves alongside technological maturity, ensuring scrutiny remains grounded and relevant. Finally, I demonstrate the practical value of this framework by applying it to quantum technologies, showing how Ethics Readiness can guide effective ethical engagement.

Indexed as

TechnologyHumansMoralsUncertaintyAnticipationEthics of emerging technologyEthics readiness levels (ERLs)Quantum technologyTechnology readiness levels (TRLs)

Identifiers

PMID41082126
PMCPMC12518457

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Registered trials

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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.