AIMC Topic: Violence

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Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
PURPOSE: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm viol...

Ethics, Artificial Intelligence, and Risk Assessment.

The journal of the American Academy of Psychiatry and the Law
A considerable number of papers have been published on the ethics of artificial intelligence for the purposes of violence risk assessment. In this issue of The Journal, Hogan and colleagues argue that artificial intelligence introduces novel concerns...

Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

PloS one
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic pain are known sequelae of IPV; however, not all those who experience IPV develop chronic pain. To m...

On the Ethics and Practicalities of Artificial Intelligence, Risk Assessment, and Race.

The journal of the American Academy of Psychiatry and the Law
Artificial intelligence (AI) has been put forth as a potential means of improving and expediting violence risk assessment in forensic psychiatry. Furthermore, it has been proffered as a means of mitigating bias by replacing subjective human judgement...

Identifying intentional injuries among children and adolescents based on Machine Learning.

PloS one
BACKGROUND: Compared to other studies, the injury monitoring of Chinese children and adolescents has captured a low level of intentional injuries on account of self-harm/suicide and violent attacks. Intentional injuries in children and adolescents ha...

Violence detection explanation via semantic roles embeddings.

BMC medical informatics and decision making
BACKGROUND: Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violenc...

Ethics Implications of the Use of Artificial Intelligence in Violence Risk Assessment.

The journal of the American Academy of Psychiatry and the Law
Artificial intelligence is rapidly transforming the landscape of medicine. Specifically, algorithms powered by deep learning are already gaining increasingly wide adoption in fields such as radiology, pathology, and preventive medicine. Forensic psyc...

Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

International journal of medical informatics
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...

Prediction of physical violence in schizophrenia with machine learning algorithms.

Psychiatry research
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...

Clustering suicides: A data-driven, exploratory machine learning approach.

European psychiatry : the journal of the Association of European Psychiatrists
Methods of suicide have received considerable attention in suicide research. The common approach to differentiate methods of suicide is the classification into "violent" versus "non-violent" method. Interestingly, since the proposition of this dichot...