Published Paper Details:

In an increasingly interconnected world, the ability of artificial intelligence (AI) to process analyze, and infer patterns from data introduces risks of unintended data exposure, discrimination, and misuse of personal information. As AI technologies advance, they present fundamental privacy challenges alongside transformative opportunities. AI systems, powered by vast amounts of data, have the potential to revolutionize industries, improve services, and enhance user experiences. However, this progress raises serious concerns about the erosion of personal privacy, surveillance, and the security of sensitive information. This study examines the intricate relationship between privacy and AI, along with the ways existing privacy frameworks are being modified and tested to address these new challenges. The ethical ramifications of AI systems and the role of regulation in defending individual rights are also assessed. The study suggests methods for achieving a balance between privacy protection and innovation, including enforcing stricter data governance regulations, promoting privacy- preserving technologies like federated learning and differential privacy, and ensuring transparency in AI decision-making. Ultimately, cooperation between technology developers, regulators, and society will determine the future of privacy in the AI era, ensuring that advancements in AI align with the protection of individual privacy and fundamental human rights.