Evidence map›Paper›PMID 34871706›Full record

ArticleBehavioural brain research2022

AI ethics in computational psychiatry: From the neuroscience of consciousness to the ethics of consciousness.

Wanja Wiese, Karl J Friston

Abstract read
In one paragraph

Article in Behavioural brain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Ethical dilemmas in contemporary psychiatry: Findings from a survey of National Psychiatric Associations in Europe.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  7. Review
  8. 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

2 authors.

Wanja WieseInstitute of Philosophy II, Ruhr University Bochum, Universitätsstraße 150, 44780 Bochum, Germany. Electronic address: Wanja.Wiese@rub.de.
Karl J FristonWellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London WC1N 3AR, UK.

Funding

Wellcome TrustWellcome Trust 088130/Z/09/Z
6 · The paper itself

Abstract

Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (CP). Hence, considerations from AI ethics are also relevant to ethical discussions of CP. Ethical issues include, among others, fairness and data ownership and protection. Apart from this, morally relevant issues also include potential transformative effects of applications of AI-for instance, with respect to how we conceive of autonomy and privacy. Similarly, successful applications of CP may have transformative effects on how we categorise and classify mental disorders and mental health. Since many mental disorders go along with disturbed conscious experiences, it is desirable that successful applications of CP improve our understanding of disorders involving disruptions in conscious experience. Here, we discuss prospects and pitfalls of transformative effects that CP may have on our understanding of mental disorders. In particular, we examine the concern that even successful applications of CP may fail to take all aspects of disordered conscious experiences into account.

Indexed as

Artificial IntelligenceNeurosciencesPsychiatryConsciousnessDeep LearningHumansMental DisordersAI ethicsComputational psychiatryConsciousnessEthics of consciousnessMental disordersSchizophrenia

Identifiers

PMID34871706
PMCPMC9125160

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.