September 10, 2025Journal of data protection & privacy.

AI governance and data privacy in cross-border contexts: A comparative analysis of regulatory frameworks

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AI governance frameworks show significant discrepancies in addressing privacy concerns across jurisdictions, leading to compliance challenges.
The comparative analysis of AI strategies in the US, EU, Singapore, and UAE emphasized the need for mutual recognition agreements to enhance data privacy.
Regional regulatory frameworks vary, impacting accountability, transparency, and ethical considerations, which are crucial for effective AI implementation.
Matching local frameworks with OECD AI Principles may facilitate the development of more uniform global standards for AI governance.

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Implication

Comparative analysis highlights data privacy and regulatory challenges in AI governance among the US, EU, UAE, and Singapore, indicating a need for harmonised standards.

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Ahmed Bahgat (2025) studied this question.

synapsesocial.com/papers/68c23b08b210217d647837b8 https://doi.org/10.69554/bojl3033

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Implication

Comparative analysis highlights data privacy and regulatory challenges in AI governance among the US, EU, UAE, and Singapore, indicating a need for harmonised standards.

AI governance and data privacy in cross-border contexts: A comparative analysis of regulatory frameworks

Key Points

Discussion

Implication

Cite This Study

AI governance and data privacy in cross-border contexts: A comparative analysis of regulatory frameworks

Key Points

Discussion

Implication

Cite This Study