Collective Intelligence Versus Corporate Monopoly: The future of AI in healthcare

As artificial intelligence (AI) revolutionizes healthcare, a crucial debate is emerging: Should AI development be driven by tech giants or by collective intelligence? This article discusses the strengths and limitations of both approaches, analyzing real-world cases and future scenarios. The investigation encompasses technical, ethical, and practical implications of different AI development models in healthcare, drawing insights from initiatives like Google's Med-PaLM 2 and the MIMIC database. A balanced path integrating corporate innovation with open-source collaboration, supported by thoughtful regulation, may offer a promising way to develop AI systems that are technologically advanced, ethical, and equitable. The integrated approach could help address diverse needs in global healthcare while maintaining high standards of innovation and accessibility.

Authors

Publication Details

Journal
Ubiquity
Published
2026-03-01
DOI
https://doi.org/10.1145/3723882
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Collective Intelligence Versus Corporate Monopoly: The future of AI in healthcare

Chenghua Lin, Yanyi Wu
Ubiquity
Artificial Intelligence in Healthcare and Education
article

Collective Intelligence Versus Corporate Monopoly: The future of AI in healthcare

Chenghua Lin, Yanyi Wu
article en

Abstract

As artificial intelligence (AI) revolutionizes healthcare, a crucial debate is emerging: Should AI development be driven by tech giants or by collective intelligence? This article discusses the strengths and limitations of both approaches, analyzing real-world cases and future scenarios. The investigation encompasses technical, ethical, and practical implications of different AI development models in healthcare, drawing insights from initiatives like Google's Med-PaLM 2 and the MIMIC database. A balanced path integrating corporate innovation with open-source collaboration, supported by thoughtful regulation, may offer a promising way to develop AI systems that are technologically advanced, ethical, and equitable. The integrated approach could help address diverse needs in global healthcare while maintaining high standards of innovation and accessibility.

UbiquityVol. 2026(March)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
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