CROSS-BORDER DATA TRANSFERS AND AI ANALYTICS: CHALLENGES UNDER EMERGING GLOBAL PRIVACY REGIMES
AUTHOR – DR. RAJEEV KUMAR SINGH* & GAUTAM GUPTA**
* ASSISTANT PROFESSOR AT AMITY UNIVERSITY UTTAR PRADESH LUCKNOW CAMPUS
** STUDENT AT AMITY UNIVERSITY UTTAR PRADESH LUCKNOW CAMPUS
BEST CITATION – DR. RAJEEV KUMAR SINGH & GAUTAM GUPTA, CROSS-BORDER DATA TRANSFERS AND AI ANALYTICS: CHALLENGES UNDER EMERGING GLOBAL PRIVACY REGIMES, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 6 (1) OF 2026, PG.1219-1224, APIS – 3920 – 0001 & ISSN – 2583-2344. DOI – https://doi.org/10.65393/IZPY2027
Abstract
The growth of intelligence analytics is getting bigger and bigger and this is making a lot of data go back and forth across borders. Artificial intelligence systems need a lot of data that is updated all the time and this data often comes from many different countries.. Now there are new rules about privacy that are making it harder to move personal data around the world and this is causing a lot of confusion.
This paper looks at how artificial intelligence analytics and data that goes across borders work under the current rules about privacy. It examines the basics of who controls data what standards are good enough how to keep data safe when it is transferred and who is responsible for making sure data is handled correctly. The paper also looks at the problems that big companies and digital platforms are facing.
By comparing how different countries handle these issues the paper looks at the problems that come up when we try to balance ideas, economic growth and the right, to privacy. The paper says that we need to protect privacy. If we have too many different rules it could hurt the development of artificial intelligence and global digital trade.
The study suggests that we should have standards that’re the same everywhere ways for companies to comply with the rules that work together and models of governance that are based on risk. This way we can protect privacy. Still make progress with technology.
In the end we need to have rules that work together to deal with the fact that data analytics can happen anywhere while still respecting the rules of each country and the rights of humans. We need to make sure that artificial intelligence is governed in a way that’s sustainable. Artificial intelligence governance requires rules that work together across the world.
Keywords: Cross-Border Data Transfers, Artificial Intelligence (AI) Analytics, Global Privacy Regimes, Data Protection Compliance, Data Sovereignty, Data Localization, International Data Governance, Adequacy Decisions, Standard Contractual Clauses (SCCs), Algorithmic Accountability, Privacy-Enhancing Technologies (PETs), Human Rights and Data Protection, Regulatory Fragmentation, Digital Trade and AI, Transnational Data Regulation.