AI and Privacy Concerns in Data Security

Abstract

The study of AI and privacy concerns for the protection of data explores the interaction of AI and privacy, dealing with the theoretical and practical dimensions of the critical issue. It also aims to evaluate the privacy concerns of AI and its implications for data security. The theoretical framework explores privacy concerns in the digital age, with ethical theories revealing the emerging digital world increases the concerns of privacy with a lot of benefits. The core of the paper provides an understanding of specific privacy concerns associated with AI and examines regulatory frameworks like GDPR, and HIPAA for the protection of sensitive data. The implications of AI privacy focus on the broader impacts on privacy and ethical responsibility and work for exploring different ways for the protection of data. Detailed case studies provide real-world context of the security of the AI representing practical challenges that are faced by the organization including data breaches and loss of sensitive information. Moreover, case studies further provide direction for the development of the privacy policy that is employed by the government with strict rules of privacy act. Concerns of AI for the data security and privacy of the AI are complicated including the collection of and security of data as well as the findings dealing with the concerns of AI is significant to ensure the privacy of organizations and people. Different Regulatory frameworks like the Privacy Act 2018, GDPR, and OECD principles are employed for the protection of privacy and have made strict rules for the protection of the privacy and data security of organizations and individuals.