Social security in the age of artificial intelligence: Data privacy and security issues, opportunities and challenges on social media platforms

Artificial intelligence has become an integral part of daily life, utilizing various methods to collect data on individuals' behaviors, preferences, and private lives. While AI-powered solutions contribute significantly to security advancements in are-as such as data analytics, automated threat detection, and cybersecurity, they also introduce several challenges. Key concerns include privacy risks, ethical dilemmas, reducing human error, and the need for comprehensive education on these technolo-gies. AI systems, despite their capabilities, may generate unverifiable inferences and predictions, raising critical legal and regulatory issues. One of the most pressing con-cerns is the impact of AI on personal data protection. AI can process vast amounts of personal data, sometimes leading to biased or discriminatory decisions. While exist-ing data protection laws are designed to safeguard individuals' privacy, autonomy, and identity particularly the right to privacy many of these regulations remain insuffi-cient in addressing the risks associated with AI-driven technologies. This thesis aims to explore the intersection of artificial intelligence and social security by analyzing data privacy and security concerns on social media platforms. With the growing use of social media, issues related to data protection have become more prominent. The study examines the effects of AI-driven applications on these concerns and evaluates their role in enhancing or threatening social security. Ethical and legal challenges, technological innovations, and future directions in this field will be assessed. Addi-tionally, the research will discuss the impact of data collection and processing on in-dividual rights, the potential of AI to improve security and privacy, and the im-portance of developing effective policies for protecting social media users' data. The study employs discourse analysis as a qualitative research method to identify both the opportunities and challenges associated with using AI to enhance security and pro-tect society. A comprehensive literature review will be conducted, incorporating aca-demic research, official reports, and legal regulations on privacy, social media ethics, and AI governance. Comparisons with previous studies will further support the anal-ysis. The findings highlight the necessity of education and awareness campaigns to im-prove public understanding of AI-related security risks. Collaboration between poli-cymakers, technology companies, and users is essential for creating safer digital envi-ronments. Furthermore, the research emphasizes the importance of implementing ro-bust policies and legal frameworks to protect online data privacy effectively. Keywords: Artificial Intelligence, Social Security, Data Privacy, Social Media Plat-forms.