Accounting for EU external effects: from clinical trials to data colonialism to AI ethics dumping

Abstract Against a backdrop of rapidly expanding health artificial intelligence (AI) development, this paper examines how the European Union’s (EU) stringent digital regulations may incentivise the outsourcing of personal health data collection to low- and middle-income countries (LMICs), fuelling a new form of AI ethics dumping. Drawing on parallels with the historical offshoring of clinical trials, we argue that current EU instruments, such as the General Data Protection Regulation (GDPR), Artificial Intelligence Act (AI Act) and Medical Devices Regulation, impose robust internal safeguards but do not prevent the use of health data collected unethically beyond EU borders. This regulatory gap enables data colonialism, whereby commercial actors exploit weaker legal environments abroad without equitable benefit-sharing. Building on earlier EU responses to ethics dumping in clinical trials, we propose legal and policy pathways to prevent similar harms in the context of AI.

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Publication Details

Journal
International Journal of Law in Context
Published
2026-01-09
DOI
https://doi.org/10.1017/s1744552325100323
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Accounting for EU external effects: from clinical trials to data colonialism to AI ethics dumping

Hannah van Kolfschooten, Katrina S. Perehudoff, Pramiti Parwani
International Journal of Law in Context
Artificial Intelligence in Healthcare and Education
article

Accounting for EU external effects: from clinical trials to data colonialism to AI ethics dumping

Hannah van Kolfschooten, Katrina S. Perehudoff, Pramiti Parwani
article en

Abstract

Abstract Against a backdrop of rapidly expanding health artificial intelligence (AI) development, this paper examines how the European Union’s (EU) stringent digital regulations may incentivise the outsourcing of personal health data collection to low- and middle-income countries (LMICs), fuelling a new form of AI ethics dumping. Drawing on parallels with the historical offshoring of clinical trials, we argue that current EU instruments, such as the General Data Protection Regulation (GDPR), Artificial Intelligence Act (AI Act) and Medical Devices Regulation, impose robust internal safeguards but do not prevent the use of health data collected unethically beyond EU borders. This regulatory gap enables data colonialism, whereby commercial actors exploit weaker legal environments abroad without equitable benefit-sharing. Building on earlier EU responses to ethics dumping in clinical trials, we propose legal and policy pathways to prevent similar harms in the context of AI.

International Journal of Law in ContextVol. 22(1)
University of Basel (CH), University of Warwick (GB), Amsterdam Institute for Global Health and Development (NL)
European Commission, Universiteit van Amsterdam, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare and Education
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Accounting for EU external effects: from clinical trials to data colonialism to AI ethics dumping — Hannah van Kolfschooten, Katrina S. Perehudoff, et al. · International Journal of Law in Context (2026) | TGRS Research Map | TGRS