Generative AI and Open-Source Intelligence: Exploring Capabilities and Privacy Implications
Primary Investigator:
Umit Karabiyik
Akif Ozer, Vinicius Lima, Umit Karabiyik
Abstract
In the rapidly evolving landscape of artificial intelligence, the emergence and growing accessibility of generative AI technologies have marked a significant milestone. Tools like Gemini and ChatGPT 4, which can search the internet and harness online information, have opened new avenues for research and application in various fields. This study explores generative AI technologies' open-source intelligence (OSINT) capabilities, highlighting their potential in gathering and analyzing information from publicly accessible digital spaces. Despite these undeniable advantages, these tools possess built-in privacy protections to mitigate the risks of accessing and disseminating personal information. Our research methodology involves rigorous testing of these tools to assess their effectiveness in OSINT tasks while evaluating the robustness of their privacy protection mechanisms. Through this study, we aim to provide insights into the balance between the powerful capabilities of generative AI technologies and the ethical considerations of privacy and data protection. The findings of this research contribute to the broader understanding of the role of generative AI in the future of information gathering and analysis and stimulate discussion on the responsible development and use of these technologies.