The article discusses the relationship between Artificial Intelligence (AI) and personal data privacy. Artificial Intelligence which emerged in the 1950s with Alan Turing's question "Can Machines Think?" has achieved significant successes in recent years, particularly in the development of human-like machine designs. The advancement of AI is closely related to the collection of big data, which in turn involves gathering more personal data. In today's context, marked by increased philosophical discussions about freedom and heightened emphasis on the individual, the issue of personal data privacy has become considerably important, accompanied by numerous challenges. Despite the existence of many national and international legal regulations regarding data privacy, there lacks a regulation overseeing the development processes of related technologies. Artificial Intelligence is often classified into categories based on its technical capabilities, namely "Narrow AI," "General AI," and "Superintelligence." AI has attracted significant attention in philosophy and has brought about interdisciplinary research in fields ranging from logic and aesthetics to law, ethics, medicine, and even art. In the face of emerging technologies, it seems inevitable that philosophy will initiate new research trajectories. The paper examines these three concepts related to AI, their connection with the concept of privacy, the issues arising and potentially arising in the realm of personal privacy, and the measures to mitigate these risks. The methodology employed includes a literature review and qualitative data analysis. The research reveals that the notion of privacy is mainly linked to ensuring the security of personal data related to technological advancements and the changing perception of privacy in individuals. However, it's observed that these studies often do not encompass current developments. The paper endeavors to answer questions such as: What do the terms "AI, Narrow AI, General AI, Superintelligence, and Personal Data Privacy" refer to? Have studies been conducted on the relationship between AI concepts and personal data privacy? What are the risks associated with personal data privacy, and how can these risks be mitigated? The study aims to highlight the risks in the development processes of AI as increasingly vocalized by scientists working in this field. It delves into issues such as the collection and storage of personal data, often unbeknownst to individuals, through cloud technologies and the potential problems arising from the use of this data in AI training. The article also discusses potential solutions to these issues. Drawing attention to recent developments in this scope is of paramount importance for social scientists, and disseminating information about these advancements is crucial. Based on the examinations and analyses conducted, it's determined that AI, now possessing new competencies, requires an interdisciplinary approach to address the areas it influences. It's found that leaving this field solely to engineers would result in numerous problems in the near future. Safeguarding privacy in the face of intelligent machines that encompass every aspect of our lives is a formidable challenge. Reducing potential problems necessitates individual awareness, legal regulations concerning AI development processes, and recognizing that AI technologies causing issues can also be part of the solution.