Advancing Data Security and Quality in the Era of Artificial Intelligence: Challenges and Opportunities

EasyChair Preprint 15108

Abstract

As artificial intelligence (AI) continues to revolutionize data processing and analysis, ensuring data security and quality has become increasingly critical. This paper explores the intricate relationships between AI, data quality, and data security, examining how AI technologies both enhance and complicate efforts to maintain data integrity and protect sensitive information. Drawing on recent research and industry reports, we analyze current challenges, emerging best practices, and future directions for leveraging AI to fortify data security while simultaneously addressing the data quality issues that can undermine AI effectiveness. The paper concludes with recommendations for policymakers, organizations, and researchers to foster a more secure and high-quality data ecosystem in the AI era.

Keyphrases: Artificial Intelligence, Cybersecurity, National Importance, National Security, data, machine learning

@booklet{EasyChair:15108,
  author    = {Oliver Brown},
  title     = {Advancing Data Security and Quality in the Era of Artificial Intelligence: Challenges and Opportunities},
  howpublished = {EasyChair Preprint 15108},
  year      = {EasyChair, 2024}}