Evidence map›Paper›PMID 38405625›Full record

ArticleForensic sciences research2023

ChatGPT in forensic sciences: a new Pandora's box with advantages and challenges to pay attention.

Ricardo J Dinis-Oliveira, Rui M S Azevedo

Abstract readEditorial
In one paragraph

Article in Forensic sciences research, 2023. 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. Interpol review of forensic toxicology, 2023-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Article
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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

2 authors.

Ricardo J Dinis-Oliveira1H-TOXRUN-One Health Toxicology Research Unit, University Institute of Health Sciences (IUCS-CESPU), CESPU, CRL, Gandra, Portugal.ORCID https://orcid.org/0000-0001-7430-6297
Rui M S Azevedo1H-TOXRUN-One Health Toxicology Research Unit, University Institute of Health Sciences (IUCS-CESPU), CESPU, CRL, Gandra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT is a variant of the generative pre-trained transformer (GPT) language model that uses large amounts of text-based training data and a transformer architecture to generate human-like text adjusted to the received prompts. ChatGPT presents several advantages in forensic sciences, namely, constituting a virtual assistant to aid lawyers, judges, and victims in managing and interpreting forensic expert data. But what would happen if ChatGPT began to be used to produce forensic expertise reports? Despite its potential applications, the use of ChatGPT and other Large Language Models and artificial intelligence tools in forensic writing also poses ethical and legal concerns, which are discussed in this perspective together with some expected future perspectives.

Indexed as

advantages and limitationsartificial intelligenceChatGPTforensic sciencesmedicine

Identifiers

PMID38405625
PMCPMC10894065

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.