Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{195533,
        author = {Ayushi Dwivedi and Rashmi Raman and Akhlesh Kumar},
        title = {COMPARATIVE FORENSIC ANALYSIS OF AI-GENERATED HANDWRITING SAMPLES: IMPLICATION FOR DIGITAL TRACE FORGERY DETECTION.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1205-1214},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195533},
        abstract = {The advent of Generative Artificial Intelligence like ChatGPT, Gemini, Grok, Perplexity, DeepSeek, and other Large Language Models has completely changed the way documents are created and interpreted. New AI tools are not only able to create text on their own, but improvements in architectures and algorithms have also increased their efficiency. It can produce digital documents with texts that closely resemble human handwriting and signature making it increasingly difficult to distinguish genuine documents from AI-generated ones. As a result, questions about authenticity and credibility have become central concerns in academics, administration, research, crimes including but not limited to case of suicide, property dispute, threat and cyber harassment, identity theft.With the advancement in generative AI, new issues have been raised in questioned document examination. For instance, generative AI can create realistic digital handwritten signatures that only mimic the appearance of writing and do not have physical characteristics like embossed features and indentation features caused by pen pressure. The possible threat is that this realistic handwritten signature can be used to create tracing on actual documents. This is another area where there is an urgent need to deal with AI-assisted forgeries.
This research examines the role of digital forensics in identifying and validating the authenticity of documents produced with the help of various LLMs. This study explores the possibility that a handwritten document, when captured using a camera device and subsequently processed or regenerated with the assistance of AI, can reproduce an almost identical visual representation. The AI-generated output may show a striking resemblance to real handwriting samples by maintaining the pictorial features and incorporating natural variations. The study also looks at potential abuses of documents produced by AI, such as academic dishonesty, evidence fabrication, identity fraud, and official record manipulation.
This study aims to offer some helpful guidelines for determining whether any AI intervention has occurred in a document by examining current forensic practices and creating an investigation framework. The ultimate goal of this research is to assist forensic specialists, educators, and law enforcement in preserving the integrity of documents in a world where it is becoming more difficult to distinguish between content created by artificial intelligence and that written by humans.},
        keywords = {AI Softwares/Applications, digital forensics, hand written documents, Large Language Models, traced forgery.},
        month = {April},
        }