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@article{186803,
        author = {Eswar saikanth},
        title = {HARNESSING ARTIFICIAL INTELLIGENCE: NEXT-GENERATION FORENSIC INVESTIGATIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2500-2508},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186803},
        abstract = {The integration of Artificial Intelligence (AI) into forensic science has transformed modern investigative practice by advancing the precision, speed, and reliability of evidence examination. Beginning with early expert systems in the 1980s and progressing to contemporary deep learning and multi-modal biometric platforms, AI has evolved into a critical analytical tool across multiple forensic domains. Its capabilities now encompass digital forensics, biometric identification, forensic genomics, multimedia authenticity assessment, and crime pattern prediction. These technologies enable automated fingerprint and facial recognition, voiceprint analysis, deepfake detection, large-scale data mining, and the reconstruction of crime scenes with unprecedented computational rigor.
Beyond enhancing analytical capacity, AI supports decision-making processes by reducing subjective bias and increasing reproducibility. However, its integration raises significant legal and operational challenges, particularly regarding data 
privacy, algorithmic transparency, scientific validity, and admissibility of AI-generated evidence in court. Ethical frameworks and regulatory oversight remain essential to ensure accountability and prevent misuse in predictive policing and identity analytics.
Overall, AI offers profound potential to strengthen criminal justice by augmenting traditional forensic workflows, improving investigative efficiency, and enhancing evidentiary integrity. Continued interdisciplinary collaboration, standardization, and responsible deployment will be central to realizing AI’s long-term impact in forensic practice.},
        keywords = {Artificial intelligence, Forensic science, Investigation, Case study, implications},
        month = {November},
        }