DATA PRIVACY AND REGULATORY COMPLIANCE IN THE USA: A CALL FOR A CENTRALIZED REGULATORY FRAMEWORK
ABSTRACT Considering the recent technological advancements, the study examines the need for centralized data privacy and compliance regulation in the United States of America (USA). The current data privacy landscape in the USA is characterized by a patchwork of federal and state laws, which often lack uniformity and consistency. This has hindered the development of a standardized approach to data protection. Therefore, this study examined the key challenges associated with the current data privacy landscape in the USA and how a centralized data privacy and compliance regulation can address these challenges. Objective: The study's primary purpose was to examine the plausibility of a unified framework on data privacy within the US and how data can be well-managed. Method: The study employed a theoretical approach, analyzing existing literature, case studies, and current legal framework to assess the extent of data protection within the United States and make a case for a prompt federal law that would be all-encompassing in the subject matter of data, data privacy, and security. Results: The study found that the current patchwork of federal and state laws can lead to inconsistencies and business compliance burdens. Additionally, the existing rules may not adequately address emerging privacy challenges, such as those related to artificial intelligence and big data. Conclusion: The study concluded that centralized data privacy and compliance regulation could significantly enhance data protection in the USA. Thus, such a regulation could provide a more robust, consistent, and practical framework for safeguarding personal data.
Authors
- Olumide Ajayi
Institutions
- University of Illinois Urbana-Champaign (US)
Publication Details
- Journal
- International Journal of Scientific Research and Management (IJSRM)
- Published
- 2024-12-04
- DOI
- https://doi.org/10.18535/ijsrm/v12i12.lla01
- Citations
- 2
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 2.26