Personal Data Protection Issues in the Era of Artificial Intelligence

This paper discusses the challenges associated with personal data protection in the era of artificial intelligence (AI). While AI technologies enable personalized services by collecting and analyzing large amounts of data, concerns regarding privacy and data protection are growing. The methods AI systems use to process data are often opaque, which poses a potential risk to individual rights and freedoms. Therefore, exploring data protection measures suitable for the AI era is crucial. Personal data protection is essential to comply with legal requirements and maintain individual privacy and trust. In the digital era, personal data is used in various ways, leading to issues such as data breaches, misuse, and discriminatory algorithms. These problems can erode trust and negatively affect innovation and economic growth. Strengthening personal data protection has thus become a socially important task. As AI technologies advance, existing data protection laws are proving insufficient to address new challenges. Regulations such as the European General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have been enacted to strengthen personal data protection, but they face limitations in keeping up with the complexities of AI technology. The complexity of AI algorithms makes it difficult to ensure transparency in data collection and processing, hindering trust in the use of personal data.To address these issues, companies must establish clear data protection policies, policymakers to develop flexible regulations, and engineers to adopt principles that consider personal data protection in system design. These efforts will help reinforce personal data protection and enhance the reliability of AI systems. In conclusion, a trust-based data protection framework is necessary for AI technologies to respect privacy and have a positive societal impact. Companies and governments must cooperate to strengthen data protection and build societal trust.