Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis.

Journal: JMIR research protocols
PMID: 39621402

Abstract

BACKGROUND: Despite the implementation of prevention strategies, family violence continues to be a prevalent issue worldwide. Current strategies to reduce family violence have demonstrated mixed success and innovative approaches are needed urgently to prevent the occurrence of family violence. Incorporating artificial intelligence (AI) into prevention strategies is gaining research attention, particularly the use of textual or voice signal data to detect individuals at risk of perpetrating family violence. However, no review to date has collated extant research regarding how accurate AI is at identifying individuals who are at risk of perpetrating family violence.

Authors

  • Kathleen de Boer
    Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, Australia.
  • Jessica L Mackelprang
    Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, Australia.
  • Maja Nedeljkovic
    Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, Australia.
  • Denny Meyer
    Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Victoria, Australia.
  • Ravi Iyer
    Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, Australia.

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