ReviewFrontiers in psychology2020
Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective.
Review in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Using physiological biomarkers in forensic psychiatry: a scoping review.Frontiers in psychiatry · 2025Pooled it
- An empirical study of the use of neuroscience in sentencing in New South Wales, Australia.Frontiers in psychology · 2023Pooled it
- Neuroscience informed risk assessment and management in forensic mental healthcare: a qualitative analysis of ethical and legal challenges and practice-oriented recommendations.Frontiers in psychology · 2026Article
- Neurovictimology and the risks of neurotechnologies and artificial intelligence: a forensic and legal perspective.Frontiers in psychology · 2026Article
- Privacy in perspective: research participants' priorities and concerns related to sharing data generated in human neuroscience studies.Neuroethics · 2025Article
- Dangerousness Index in Forensic Psychiatric Examination: A Tool for Aiding Medical Decision Regarding the Risk of Antisocial Acts.Diagnostics (Basel, Switzerland) · 2025Article
- The application of artificial intelligence in forensic pathology: a systematic literature review.Frontiers in medicine · 2025Review
- Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry.Frontiers in psychiatry · 2024Review
- Case report: Assessing criminal responsibility and recidivism risk in the behavioral variant of frontotemporal dementia.Frontiers in psychiatry · 2024Article
- HYBRIDMINDS-summary and outlook of the 2023 international conference on the ethics and regulation of intelligent neuroprostheses.Frontiers in human neuroscience · 2024Article
- Ethical considerations for integrating multimodal computer perception and neurotechnology.Frontiers in human neuroscience · 2024Article
- Editorial: Applications of artificial intelligence in forensic mental health: opportunities and challenges.Frontiers in psychiatry · 2024Article
- Artificial Intelligence and Diagnostics in Medicine and Forensic Science.Diagnostics (Basel, Switzerland) · 2023Article
- Raman spectroscopy for postmortem interval estimation of human skeletal remains: A scoping review.Journal of biophotonics · 2023Article
- Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges.Frontiers in psychiatry · 2023Article
- Out of their minds? Externalist challenges for using AI in forensic psychiatry.Frontiers in psychiatry · 2023Review
- Neurosociology and Penal Neuroabolitionism: Rethinking Justice With Neuroscience.Frontiers in sociology · 2022Article
- Neurorights vs. neuroprediction and lie detection: The imperative limits to criminal law.Frontiers in psychology · 2022Article
- Commentary: Perspective on excellence in forensic mental health services: What we can learn from oncology and other medical services.Frontiers in public health · 2022Article
- Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.JMIR mental health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, such as lie detection, neuromarketing or brain-computer interfaces. Some of these could, in principle, also be used in forensic psychiatry. The application of these methods in forensic psychiatry could, for instance, be helpful to increase the accuracy of risk assessment and to identify possible interventions. This technique could be referred to as 'A.I. neuroprediction,' and involves identifying potential neurocognitive markers for the prediction of recidivism. However, the future implications of this technique and the role of neuroscience and A.I. in violence risk assessment remain to be established. In this paper, we review and analyze the literature concerning the use of brain-reading A.I. for neuroprediction of violence and rearrest to identify possibilities and challenges in the future use of these techniques in the fields of forensic psychiatry and criminal justice, considering legal implications and ethical issues. The analysis suggests that additional research is required on A.I. neuroprediction techniques, and there is still a great need to understand how they can be implemented in risk assessment in the field of forensic psychiatry. Besides the alluring potential of A.I. neuroprediction, we argue that its use in criminal justice and forensic psychiatry should be subjected to thorough harms/benefits analyses not only when these technologies will be fully available, but also while they are being researched and developed.
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Registered trials
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 Socratic graph.