IDEAS home Printed from https://ideas.repec.org/a/bjf/journl/v10y2025i4p361-366.html
   My bibliography  Save this article

Algorithms and Evidence: The AI Revolution in Forensics

Author

Listed:
  • Dr Anju Choudhary

    (Associate Professor, Panjab University, Chandigarh)

  • Rupali Mehta

    (Research Scholar, Panjab University, Chandigarh)

Abstract

Artificial Intelligence (AI) has become a revolutionary influence across various fields, including forensic science. AI's capacity to analyse extensive datasets, recognize patterns, and execute intricate tasks with rapidity and precision is widely utilized to improve the accuracy and efficiency of forensic investigations. Forensic medicine and toxicology are essential to the justice system, facilitating criminal investigations and ascertaining reasons of death. The emergence of artificial intelligence (AI) has precipitated a radical shift in several domains, allowing more precise analyses, accelerated processing speeds, and improved decision making skills. The significant influence of AI in forensic medicine and toxicology, along with its uses, advantages, and future potential, is emphasized. This research paper examines the diverse uses of AI in forensic sciences, assesses the advantages and drawbacks of its integration, and addresses the ethical and legal implications of its implementation.

Suggested Citation

  • Dr Anju Choudhary & Rupali Mehta, 2025. "Algorithms and Evidence: The AI Revolution in Forensics," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(4), pages 361-366, April.
    • Handle: RePEc:bjf:journl:v:10:y:2025:i:4:p:361-366
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrias/digital-library/volume-10-issue-4/361-366.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrias/articles/algorithms-and-evidence-the-ai-revolution-in-forensics/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjf:journl:v:10:y:2025:i:4:p:361-366. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrias/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.