Evidence map›Paper›PMID 41322429›Full record

ArticleComputer law & security review : the international journal of technology law and practice2024

Three Pathways for Standardisation and Ethical Disclosure by Default under the European Union Artificial Intelligence Act.

Johann Laux, Sandra Wachter, Brent Mittelstadt

Abstract read
In one paragraph

Article in Computer law & security review : the international journal of technology law and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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.

Johann LauxOxford Internet Institute, University of Oxford.
Sandra WachterOxford Internet Institute, University of Oxford.
Brent MittelstadtOxford Internet Institute, University of Oxford.

Funding

Wellcome Trust 223765
6 · The paper itself

Abstract

Under its proposed Artificial Intelligence Act ('AIA'), the European Union seeks to develop harmonised standards involving abstract normative concepts such transparency, fairness, and accountability. Applying such concepts inevitably requires answering hard normative questions. Considering this challenge, we argue that there are three possible pathways for future standardisation under the AIA. First, European standard-setting organisations ('SSOs') could answer hard normative questions themselves. This approach would raise concerns about its democratic legitimacy. Standardisation is a technical discourse and tends to exclude non-expert stakeholders and the public at large. Second, instead of passing their own normative judgments, SSOs could track the normative consensus they find available. By analysing the standard-setting history of one major SSO, we show that such consensus tracking has historically been its pathway of choice. If standardisation under the AIA took the same route, we demonstrate how this would lead to a false sense of safety as the process is not infallible. Consensus tracking would furthermore push the need to solve unavoidable normative problems down the line. Instead of regulators, AI developers and/or users could define what, for example, fairness requires. By the institutional design of its AIA, the European Commission would have essentially kicked the 'AI Ethics' can down the road. We thus suggest a third pathway which aims to avoid the pitfalls of the previous two: SSOs should create standards which require "ethical disclosure by default". These standards will specify minimum technical testing, documentation, and public reporting requirements to shift ethical decision-making to local stakeholders and limit provider discretion in answering hard normative questions in the development of AI products and services. Our proposed pathway is about putting the right information in the hands of the people with the legitimacy to make complex normative decisions at a local, context-sensitive level.

Indexed as

AI ActAI EthicsArtificial IntelligenceRegulationStandardisation

Identifiers

PMID41322429
PMCPMC7618411

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.