TY - JOUR
T1 - Conversational AI forensics
T2 - A case study on ChatGPT, Gemini, Copilot, and Claude
AU - Cho, Kyungsuk
AU - Park, Yunji
AU - Kim, Jiyun
AU - Kim, Byeongjun
AU - Jeong, Doowon
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/3
Y1 - 2025/3
N2 - Recent advances in conversational AI services have attracted interest from both specialized technical communities and the general public. Major IT companies such as OpenAI, Microsoft, and Google are actively developing and enhancing conversational AI technologies. The widespread public interest and usage of these services are rapidly increasing due to their interactive chat interfaces, which are easily accessible to anyone with basic digital literacy. However, with the growing utilization of these services, there is a risk that some users may exploit them for malicious purposes, such as technology leaks, phishing, and malware creation. This paper proposes a method for forensically investigating conversational AI services. It examines the characteristics of these services across various environments from the perspective of a digital forensic investigator and outlines a method for collecting forensic artifacts. Based on the analysis, we present a forensic investigation framework for conversational AI services, including case studies of representative services such as ChatGPT, Copilot, Gemini, and Claude.
AB - Recent advances in conversational AI services have attracted interest from both specialized technical communities and the general public. Major IT companies such as OpenAI, Microsoft, and Google are actively developing and enhancing conversational AI technologies. The widespread public interest and usage of these services are rapidly increasing due to their interactive chat interfaces, which are easily accessible to anyone with basic digital literacy. However, with the growing utilization of these services, there is a risk that some users may exploit them for malicious purposes, such as technology leaks, phishing, and malware creation. This paper proposes a method for forensically investigating conversational AI services. It examines the characteristics of these services across various environments from the perspective of a digital forensic investigator and outlines a method for collecting forensic artifacts. Based on the analysis, we present a forensic investigation framework for conversational AI services, including case studies of representative services such as ChatGPT, Copilot, Gemini, and Claude.
KW - AI Chatbot
KW - Conversational AI
KW - Conversational AI forensics
KW - Digital forensic framework
KW - Forensic artifact
UR - https://www.scopus.com/pages/publications/85212158437
U2 - 10.1016/j.fsidi.2024.301855
DO - 10.1016/j.fsidi.2024.301855
M3 - Article
AN - SCOPUS:85212158437
SN - 2666-2825
VL - 52
JO - Forensic Science International: Digital Investigation
JF - Forensic Science International: Digital Investigation
M1 - 301855
ER -