Abstract
A revolutionary interconnection of technology and criminal investigation, artificial intelligence (AI) in forensic medicine improves a number of procedures in the field. AI applications are revolutionising the collection, processing, and interpretation of evidence in criminal trials. These applications include digital forensics, postmortem analysis, and biometric identification. The likelihood of solving crimes and the general dependability of forensic results are both increased by these technologies’ notable improvements in accuracy and efficiency. AI’s ability to transform conventional methods, speed up processing, and eliminate human error makes its application in forensic medicine noteworthy. Additionally, advances in predictive policing use AI to predict criminal activity, which helps law enforcement allocate resources and prevent crime. The implications of these technologies in legal processes are seriously called into question by ethical issues about algorithmic bias, privacy, and the validity of AI-generated evidence. Furthermore, the legal environment around AI is still in its infancy, which makes it difficult for AI-generated evidence to be admitted in court and calls for a careful balancing act between innovation and morality.
| Original language | English |
|---|---|
| Pages (from-to) | 127-132 |
| Number of pages | 6 |
| Journal | Journal of Forensic Medicine and Toxicology |
| Volume | 42 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01-01-2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
All Science Journal Classification (ASJC) codes
- Pathology and Forensic Medicine
- Toxicology
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