Assessing the Effectiveness of Cross-Border Data Flow Regulations in the Age of Artificial Intelligence (AI)
50 Pages Posted: 31 May 2023
Date Written: April 18, 2023
We are in an era where the amount of data generated by both humans and machines far outpaces the ability of humans to absorb, interpret and make complex deductions based on that data. In recent times, AI has been the technology leverage to enhance the speed, precision, and effectiveness of human efforts by automating repetitive learning and discovery.
The need for data processing across borders has been intensified by and made easy by technologies like cloud, blockchain, and AI. AI has the potential to impact regulations that govern the cross-border processing of data by challenging the current framework that governs the collection, storage, and use of personal data. AI algorithms require vast amounts of data to train and improve their accuracy, which can cross geographical boundaries, where CBDF laws mandate that data must be stored within a specific jurisdiction or transferred under certain regulations, this can create barriers for AI-enabled businesses that need access to large amounts of data to build and train their models. On the other hand, countries have argued that cross-border-data flow restriction is necessary for protecting the privacy and security of their citizens' personal information.
The interplay between AI and CBDF laws is complex and continues to evolve, with some countries adopting more stringent data privacy measures, while others are looking for ways to balance the benefits of AI with the need to protect personal data. It is within the thrust of this research paper to characterize the effectiveness of these laws.
Keywords: CBDF, Cross-border data flows, data privacy, data protection, data processing, artificial intelligence, ai,
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