NORMA eResearch @NCI Library

No Digital Omnibus! Why Europe Owes LMICs the Ethical Regulation of Generative AI in Healthcare

Gross, Nicole and Geiger, Susi (2026) No Digital Omnibus! Why Europe Owes LMICs the Ethical Regulation of Generative AI in Healthcare. Other. PublicPolicy.ie, Dublin, Ireland.

[thumbnail of No-Digital-Omnibus_Gen-AI-Healthcare.pdf]
Preview
PDF
Download (1MB) | Preview
Official URL: https://publicpolicy.ie/health/no-digital-omnibus-...

Abstract

AI tools hold vast promises to reduce health inequities in LMICs, yet these geographies remain heavily dependent on the technological infrastructures and governance norms from high-income regions. This paper highlights that tech-driven world building, coupled with the lack of firm AI regulation in the US and China, has led to unregulated AI technologies being implemented in healthcare systems and practices in LMICs, often with negative effects. Europe has been seeking to reign in the unfettered powers of digital technology companies with its recent regulations, namely the EU AI Act, Digital Services Act, Digital Markets Act, and the proposed Digital Fairness Act. We argue that these ‘gold standard’ regulations could work as a multilateralist spine for LMICs to unlock the potential of generative AI safely and ethically. However, we also warn that Europe’s recent proposal of a ‘Digital Omnibus’ package will potentially eradicate the so-called ‘Brussels effect’. We therefore urge the EU to carefully consider the weakening of their previously set regulations in the name of competitiveness as this will have an impact on LMICs too. Finally, we make recommendations on how the EU can support the additional transfer of regulatory blueprints to LMICs.

Item Type: Monograph (Other)
Uncontrolled Keywords: Artificial Intelligence; AI; Digital Health; Ethical AI; Generative Artificial Intelligence; LMICs; The Digital Omnibus
Subjects: B Philosophy. Psychology. Religion > BJ Ethics
Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
R Medicine > Healthcare Industry
Divisions: School of Business and Social Sciences > Staff Research and Publications
Depositing User: Tamara Malone
Date Deposited: 28 Mar 2026 14:38
Last Modified: 28 Mar 2026 14:38
URI: https://norma.ncirl.ie/id/eprint/9237

Actions (login required)

View Item View Item