TY - JOUR
T1 - Unveiling truth of Artificial Intelligence in Forensic Medicine and Education – better late than never
AU - Bakkannavar, Shankar
AU - Parekh, Utsav
AU - Gupta, Sanjay
N1 - Publisher Copyright:
© 2025: jfmt Journal of Forensic Medicine & Toxicology (JFMT).
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105005966277
UR - https://www.scopus.com/pages/publications/105005966277#tab=citedBy
U2 - 10.48165/jfmt.2025.42.1.19
DO - 10.48165/jfmt.2025.42.1.19
M3 - Article
AN - SCOPUS:105005966277
SN - 0971-1929
VL - 42
SP - 127
EP - 132
JO - Journal of Forensic Medicine and Toxicology
JF - Journal of Forensic Medicine and Toxicology
IS - 1
ER -